# Best Analytics Platforms - Page 3 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* The best analytics platform in 2026 is Microsoft Power BI, rated 4.5 out of 5 on G2 based on 1,600+ verified reviews. For data engineering and machine learning workflows, Databricks and Alteryx both lead at 4.6 stars, with Databricks excelling in governed lakehouse analytics and Alteryx in no-code automation. 1. Microsoft Power BI — 4.5/5 (1,600+ reviews): Microsoft-connected interactive dashboards 2. Tableau — 4.4/5 (3,700+ reviews): Flexible visual dashboard exploration 3. Databricks — 4.6/5 (1,300+ reviews): Governed lakehouse analytics and ML workflows 4. SAS Viya — 4.3/5 (800+ reviews): Cloud analytics for governed data science 5. Alteryx — 4.6/5 (800+ reviews): No-code data preparation and automation *Updated June 2026. Based on 2026 G2 verified review data across 6,100+ products.* Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making. Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business. These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization. Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly. Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience. Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization. To qualify for inclusion in the Analytics Platforms category, a product must: - Ingest and integrate data from a wide range of structured and semi-structured sources - Prepare and transform data using built-in tools for cleaning, enrichment, and formatting - Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps - Enable users to model data relationships, join datasets, and explore data interactively - Offer tools to build meaningful business reports, dashboards, and visualizations - Allow creation and sharing of internal analytics applications or embedded insights across teams ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,591 reviews) | Microsoft-connected interactive dashboards | "[Zero-Code Dashboards with Easy Data Transformations and One-Click Publishing](https://www.g2.com/survey_responses/microsoft-power-bi-review-12864007)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,648 reviews) | Flexible visual dashboard exploration | "[Intuitive, Powerful Dashboards Made Easy with Tableau](https://www.g2.com/survey_responses/tableau-review-12975131)" | | 3 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,317 reviews) | Governed lakehouse analytics and ML workflows | "[Premium Notebook Experience That Unifies ML and Data Engineering](https://www.g2.com/survey_responses/databricks-review-13086971)" | | 4 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (763 reviews) | Cloud analytics for governed data science | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 5 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (844 reviews) | No-code data preparation and automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 6 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,585 reviews) | Governed shared BI metrics | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,012 reviews) | Centralized self-service business dashboards | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (265 reviews) | Semantic-layer acceleration for enterprise BI | "[Kyvos Unified Our Business Logic with a Single Semantic Model](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12797024)" | | 9 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (401 reviews) | SQL and Python notebook analytics apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | | 10 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 reviews) | Warehouse-native spreadsheet-style analytics | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | --- ## What Are the Most Common Questions About Analytics Platforms? *AI-generated · Last updated: May 26, 2026* ### What analytics platforms with intuitive UI that non-technical users adopt without extensive training? Based on G2 reviews, buyers looking for analytics platforms with an intuitive interface often prioritize drag-and-drop workflows, easy report creation, and minimal training overhead. According to verified users, Microsoft Power BI is frequently described as easy to use for dashboard creation, with non-technical teams able to navigate dashboards and build simple reports. Tableau reviewers also mention beginner-friendly dashboarding and drag-and-drop analysis, especially for quick visualization work. G2 reviewers mention that Looker can support self-service access once models are set up, though some users note a steeper learning curve for report creation. Across recent reviews, ease of use is strongest when teams need straightforward dashboard access, fast setup, and familiar visual exploration. ### What most trusted analytics solutions by data teams based on user reviews for teams with similar? Based on G2 reviews, trust among data teams in this category often comes from reliability in handling large datasets, flexible workflows, and strong collaboration between technical and business users. According to verified users, Databricks is repeatedly trusted for unifying data engineering, analytics, and machine learning in one environment, which reduces tool sprawl. G2 reviewers mention Microsoft Power BI as dependable for centralizing reporting and sharing metrics across teams, especially in Microsoft-heavy environments. Tableau is also trusted for visual exploration and dashboard creation, particularly when teams need strong storytelling and flexible analysis. Recent reviews show that data teams value tools they can rely on for scaling workflows, consolidating sources, and keeping metrics accessible to stakeholders. ### Which analytics solutions integrate with data warehouses like snowflake, BigQuery, and Redshift seamlessly? Based on G2 reviews, Databricks stands out for teams that need seamless integration with modern data warehouse and cloud data environments. According to verified users, Databricks brings data engineering, analytics, and machine learning into one platform while connecting well with tools such as Snowflake, BigQuery, and related cloud ecosystems. G2 reviewers mention native connectors, shared notebooks, workflow orchestration, and unified data handling as key reasons it simplifies work across warehouse-based stacks. Reviews also describe easier collaboration and fewer handoffs between teams because data processing and analysis stay in one environment. For buyers prioritizing warehouse-centric analytics, recent feedback most consistently points to Databricks as the strongest fit in this dataset. ### What top analytics platforms for mid-market companies building self-service dashboards across departments that scales with team? Based on G2 reviews, mid-market teams building self-service dashboards across departments often look for tools that centralize reporting, support business users, and reduce dependence on manual spreadsheet work. G2 reviewers mention Microsoft Power BI as a strong fit for cross-functional KPI tracking, automated dashboards, and broad access across business users. According to verified users, Databricks supports scalable analytics workflows when teams need broader data engineering and analytics in one place. Tableau is also cited for interactive dashboards and accessible visual exploration, especially when organizations want polished reporting for multiple stakeholders. Across recent reviews, these platforms are described as helpful for scaling visibility across finance, operations, sales, and marketing without constantly rebuilding reports. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – used to centralize reporting and give business teams self-service dashboards across departments - [Databricks](https://www.g2.com/products/databricks/reviews) – supports scalable data workflows that combine analytics, reporting, and shared access to large datasets - [Tableau](https://www.g2.com/products/tableau/reviews) – helps teams build interactive dashboards and share visual insights across business functions ### Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration? Based on G2 reviews, Microsoft Power BI is a strong choice when teams need fast query response and flexible drill-down for ad-hoc exploration. According to verified users, Power BI makes it easy to drill into numbers, filter data, and explore trends without writing repeated custom queries. G2 reviewers mention cross-filtering, interactive dashboards, and quick access to KPIs as key strengths for day-to-day analysis. Reviews also highlight its ability to centralize data from multiple sources and let business users navigate details on their own. While some reviewers mention performance slowdowns on especially large or complex datasets, recent feedback still shows Power BI as the most consistently referenced option here for accessible drill-down analysis. ### What analytics platforms supporting collaborative dashboards, annotations, and mobile access for on-the-go insights? Based on G2 reviews, collaboration and mobile accessibility are recurring strengths for several analytics platforms. According to verified users, Domo supports sharing dashboards, discussing insights, and enabling collaboration across departments, with reviewers also highlighting its mobile experience. G2 reviewers mention Yellowfin BI for collaboration through comments, annotations, and shared reporting workflows that help teams discuss data in context. Microsoft Power BI is also noted for mobile and web access, along with easy dashboard sharing and centralized reporting. Recent reviews suggest these tools are most relevant when teams need analytics that travel beyond a desktop, allowing leaders and frontline users to access dashboards, review updates, and align on performance while moving between meetings or locations. ### Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation? Based on G2 reviews, Looker is one of the strongest options for preventing incorrect conclusions through governed metrics and centralized definitions. According to verified users, its modeling approach helps define metrics once and apply them consistently across dashboards, reducing disagreements over what a number means. G2 reviewers mention that this centralized layer helps stop teams from pulling conflicting versions of the same metric and creates a more trusted reporting environment. Reviews also describe faster decision-making because teams are working from one shared definition instead of reconciling spreadsheets. For organizations focused on governance, consistency, and reducing metric drift, recent review language most directly supports Looker in this area. ### What is the best analytics platforms for business teams accessing insights without requiring SQL or data science skills? Based on G2 reviews, Microsoft Power BI is the best-supported answer in this dataset for business teams that need insights without requiring SQL or data science skills. According to verified users, it is easy to use, supports drag-and-drop reporting, and helps non-technical users access dashboards and explore data without heavy training. G2 reviewers mention self-service dashboards, natural language features, and accessible visualizations that help staff make informed decisions without depending on technical teams for every question. Reviews also note strong integration with common business tools and data sources, which helps teams get started faster. For non-technical business users, Power BI is the most consistently referenced option in recent reviews. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – helps non-technical teams build and use dashboards with drag-and-drop reporting and familiar workflows - [Tableau](https://www.g2.com/products/tableau/reviews) – supports quick visual exploration with an intuitive drag-and-drop interface for broad business use - [Looker](https://www.g2.com/products/looker/reviews) – enables self-service exploration and shared dashboards once models are set up for business teams ### What highest rated analytics platform for enterprises democratizing data access across business functions? Based on G2 reviews, enterprises democratizing data access across business functions often choose platforms that centralize metrics and make dashboards accessible to non-technical users. G2 reviewers mention Microsoft Power BI for unifying reporting across departments and helping business users explore dashboards directly. According to verified users, Looker supports centralized metric definitions and broader self-service analytics across organizations, reducing inconsistencies between teams. Tableau is also frequently cited for making complex datasets easier to communicate through interactive dashboards and visual storytelling. Across recent reviews, these platforms are associated with giving finance, operations, marketing, and leadership a common view of performance so teams can act without waiting on repeated manual reporting. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – centralizes dashboards and gives business teams direct access to live metrics across functions - [Looker](https://www.g2.com/products/looker/reviews) – provides a centralized modeling layer that helps teams work from shared definitions across the organization - [Tableau](https://www.g2.com/products/tableau/reviews) – makes cross-functional insights easier to share through interactive dashboards and visual exploration ### What analytics solutions with robust caching and performance optimization to maintain fast speeds at scale? Based on G2 reviews, several analytics solutions stand out for maintaining speed at scale through performance optimization. According to verified users, Databricks is frequently praised for handling large-scale data processing efficiently and supporting complex analytics without major slowdowns when workflows are managed well. G2 reviewers mention Kyvos Semantic Layer for accelerating query response on very large datasets and improving dashboard responsiveness, especially in BI environments. Tableau and Microsoft Power BI are also noted for strong performance in many day-to-day scenarios, though reviewers sometimes mention tuning is important as complexity grows. Across recent reviews, the strongest performance-focused language centers on Databricks and Kyvos when buyers need fast access to large volumes of data. ## G2 Grid® for Analytics Platforms ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=29364&focus%5B%5D=1213&focus%5B%5D=10470&focus%5B%5D=1327283&focus%5B%5D=989&focus%5B%5D=5048&focus%5B%5D=604&focus%5B%5D=27024) Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Looker, Domo, and Kyvos Semantic Layer. Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=tableau&focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=looker&focus%5B%5D=domo&focus%5B%5D=kyvos-semantic-layer) ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 358 ### Category Stats (Jul 2026) - **Average Rating**: 4.49/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.18%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 10, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,600+ Authentic Reviews - 358+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Analytics Platforms Is Best for Your Use Case? - **Leader:** [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - **Highest Performer:** [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) - **Easiest to Use:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - **Best Free Software:** [Tableau](https://www.g2.com/products/tableau/reviews) --- **Sponsored** ### Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-07-10T20%3A36%3A25Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%3Fopen_modal_url%3D%252Fproducts%252Fclearquery%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fanalytics-platforms%2526source%253Dcategory&secure%5Btoken%5D=f020d044b456e00c335c8d38f97211c89de4a47a0cbd225cfdd98f494961095c&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [Metabase](https://www.g2.com/products/metabase/reviews) Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL, for internal and customer-facing, embedded analytics. Install and setup in 5 minutes. Works with what’s already in your data stack, including SQL and NoSQL databases, from PostgreSQL to MongoDB. Let your whole team explore data on their own, create charts, interactive dashboards, and set up subscriptions and alerts - even to people outside of your org. The native SQL editor and advanced data tools will win over your data team. From Open Source (Always Free) to Enterprise, from Metabase Cloud to self-hosted, Metabase has everything you need scale with you with a number of affordable plans. Try free for 14 days. **Average Rating:** 4.4/5.0 **Total Reviews:** 145 **How Do G2 Users Rate Metabase?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Metabase?** - **Seller:** [Metabase](https://www.g2.com/sellers/metabase) - **Year Founded:** 2014 - **HQ Location:** Lucknow, Uttar Pradesh - **Twitter:** @metabase (8,751 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6460313/ (125 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Metabase's Pros and Cons? **Pros:** - Ease of Use (11 reviews) - Implementation Ease (5 reviews) - Intuitive (5 reviews) - Data Visualization (4 reviews) - Easy Setup (4 reviews) **Cons:** - Slow Performance (5 reviews) - Missing Features (4 reviews) - Slow Loading (4 reviews) - Performance Issues (3 reviews) - Dashboard Issues (2 reviews) ### What Do G2 Reviewers Say About Metabase? *AI-generated summary from verified user reviews* **Pros:** - Users find Metabase's **ease of use** and intuitive design essential for quick data exploration and report generation. - Users praise the **implementation ease** of Metabase, finding it intuitive and accessible for diverse data queries. - Users love the **intuitive design** of Metabase, making report generation and data visualization effortless for everyone. - Users praise Metabase for its **user-friendly data visualization** , enabling non-technical users to easily create informative charts. - Users find the **easy setup** of Metabase impressive, enabling quick connections to databases with minimal configuration. **Cons:** - Users experience **slow performance** with Metabase, particularly with large datasets and lengthy query loading times. - Users find Metabase lacking in **advanced features** , particularly in visualizations and the absence of integrated AI assistance. - Users report that queries often experience **slow loading times** , leading to frustrating timeouts and delays in accessing dashboards. - Users experience **performance issues** with Metabase, particularly with lagging and slower processing for larger datasets. - Users feel that the **dashboard creation UI could be improved** and desire better chart options and AI integration. #### What Are Recent G2 Reviews of Metabase? **"[Intuitive, Cost-Effective BI That Streamlines Dashboards and Reporting](https://www.g2.com/survey_responses/metabase-review-12056142)"** **Rating:** 4.0/5.0 stars *— BHARAT SINGH B.* [Read full review](https://www.g2.com/survey_responses/metabase-review-12056142) --- **"[User-Friendly and Developer-Friendly BI Tool That’s Easy to Get Started With](https://www.g2.com/survey_responses/metabase-review-12552560)"** **Rating:** 4.5/5.0 stars *— SAURABH B.* [Read full review](https://www.g2.com/survey_responses/metabase-review-12552560) --- #### What Are G2 Users Discussing About Metabase? - [What are the benefits and drawbacks of using Metabase for your data visualization needs?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-metabase-for-your-data-visualization-needs) - [What is Metabase used for?](https://www.g2.com/discussions/metabase-what-is-metabase-used-for) - 1 comment - [Is Metabase secure?](https://www.g2.com/discussions/is-metabase-secure) - 1 comment, 1 upvote - [Who uses Metabase?](https://www.g2.com/discussions/who-uses-metabase) - [Is Metabase free?](https://www.g2.com/discussions/is-metabase-free) - 2 comments ### 2. [Gathr.ai](https://www.g2.com/products/gathr-ai/reviews) Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, Gathr.ai delivers agility, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit speed and full extension freedom. **Average Rating:** 4.8/5.0 **Total Reviews:** 33 **How Do G2 Users Rate Gathr.ai?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 9.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Gathr.ai?** - **Seller:** [Gathr.ai](https://www.g2.com/sellers/gathr-ai) - **Year Founded:** 2022 - **HQ Location:** Los Gatos, CA, US - **LinkedIn® Page:** https://www.linkedin.com/company/gathr-one (57 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Associate Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 79% Mid-Market, 21% Enterprise #### What Are Gathr.ai's Pros and Cons? **Pros:** - Integrations (9 reviews) - Data Management (7 reviews) - Drag (6 reviews) - Ease of Use (6 reviews) - Easy Integrations (6 reviews) **Cons:** - Access Issues (1 reviews) - Connection Issues (1 reviews) - Difficult Setup (1 reviews) - Lack of Real-Time Data (1 reviews) - Performance Optimization (1 reviews) ### What Do G2 Reviewers Say About Gathr.ai? *AI-generated summary from verified user reviews* **Pros:** - Users love the **seamless integrations** of Gathr.ai, enabling swift and efficient AI-driven analytics with minimal effort. - Users rave about Gathr.ai's **data management capabilities** , enabling seamless data exploration and instant, insightful responses. - Users appreciate the **intuitive drag-and-drop interface** of Gathr.ai, enabling swift creation of complex data pipelines. - Users value the **ease of use** of Gathr.ai, enabling quick data integration with its low-code, drag-and-drop interface. - Users value the **easy integrations** of Gathr.ai, enabling quick setup and seamless data pipeline configurations. **Cons:** - Users face **access issues** due to the need for more native connectors, which affects their experience with Gathr.ai. - Users experienced **connection issues** with legacy systems initially, though support offered timely workarounds and updates. - Users note that the **difficult setup** of custom connectors may require extra effort, though it's not a major drawback. - Users find the **lack of real-time data** challenging for monitoring and improving pipeline performance effectively. - Users find the **performance optimization** aspect of Gathr.ai requires technical knowledge, complicating data transfer monitoring. #### What Are Recent G2 Reviews of Gathr.ai? **"[Enables deep, self-service data exploration](https://www.g2.com/survey_responses/gathr-ai-review-11440931)"** **Rating:** 5.0/5.0 stars *— Neha G.* [Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11440931) --- **"[Simplified data transformation for GenAI success](https://www.g2.com/survey_responses/gathr-ai-review-11262615)"** **Rating:** 4.5/5.0 stars *— siddharth g.* [Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11262615) --- ### 3. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 494 **How Do G2 Users Rate Altair AI Studio?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.2/10) - **Steps to Answer:** 7.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Altair AI Studio?** - **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7) - **Company Website:** https://www.altair.com/ - **Year Founded:** 1985 - **HQ Location:** Troy, MI - **LinkedIn® Page:** https://www.linkedin.com/company/8323/ (2,774 employees on LinkedIn®) - **Ownership:** NASDAQ:ALTR **Who Uses This Product?** - **Who Uses This:** Student, Data Scientist - **Top Industries:** Higher Education, Education Management - **Company Size:** 42% Small-Business, 30% Mid-Market #### What Are Altair AI Studio's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Machine Learning (8 reviews) - AI Integration (6 reviews) - AI Technology (5 reviews) - Automation (5 reviews) **Cons:** - Complexity (4 reviews) - Large Dataset Handling (3 reviews) - Slow Performance (3 reviews) - Complexity Issues (2 reviews) - Complex Usage (2 reviews) ### What Do G2 Reviewers Say About Altair AI Studio? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **easy-to-use interface** of Altair AI Studio, allowing for seamless data science task completion. - Users value the **no-code machine learning capability** of Altair AI Studio, facilitating easy model creation and advanced analytics. - Users appreciate the **seamless AI integration** of Altair AI Studio, enhancing decision-making and efficiency in data analysis. - Users admire the **advanced machine learning and data analytics** in Altair AI Studio, enhancing decision-making and efficiency. - Users value the **automation capabilities** of Altair AI Studio, significantly enhancing efficiency and decision-making processes. **Cons:** - Users find the **complexity** of Altair AI Studio challenging, especially with language support and handling large datasets. - Users face **slower performance** and occasional UI bugs when handling large datasets in Altair AI Studio. - Users face **slow performance** with Altair AI Studio, particularly when managing large or complex datasets. - Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support options. - Users find the **complex usage** of Altair AI Studio challenging due to steep learning curves and inadequate documentation. #### What Are Recent G2 Reviews of Altair AI Studio? **"[Essential Tool for Streamlined Sensor Analysis](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188)"** **Rating:** 5.0/5.0 stars *— Ayçe M.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188) --- **"[Great tool for easy data analysis and testing of AI models](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)"** **Rating:** 4.5/5.0 stars *— Sanjeet S.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088) --- #### What Are G2 Users Discussing About Altair AI Studio? - [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment - [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools) - [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source) - [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner) - [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit) ### 4. [wynEnterprise](https://www.g2.com/products/wynenterprise/reviews) Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. With easy-to-use designers, designed for self-service BI, Wyn offers limitless visual data exploration, allowing the everyday user to become data-driven while revealing trends and telling the story behind the data. Whether for your business or your commercial SaaS app, Wyn is an ideal solution for both. Embedded BI for your business provides a holistic view of your business and can lead to more insights, increased team collaboration, and overall business growth. Additionally, embedding Wyn in your SaaS app provides white-label reports and dashboards as part of your own app. Embed Wyn and empower your users with a seamless business intelligence solution. Features: • Seamlessly embedded Business Intelligence: Designed for embedded self-service BI, Wyn provides ad hoc reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. Our platform offers flexible deployment and integration. • Embedding BI with Wyn: Once installed, Wyn is 100% web-based. In your application, Wyn is embedded as a port to provide users the ability to easily create, design, share, export, and distribute dashboards and documents. Seamlessly embed Wyn via Rest API and DIV. Wyn also supports OEM installation and embedding. Additionally, you can integrate with development platforms such as Java, PHP, and .NET through GraphQL API. You can also embed inside customized .NET apps as well as JavaScript frameworks (Angular, React, Vue). • Self-service BI dashboard and reports: Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. Self-service BI allows users to run their own queries and create their own reports, even if they don’t have a background in statistical analysis, allowing them to turn data into valuable insights for better data driven decisions. • Data Monitoring: Create threshold based notifications and establish Wyn Alerts that are always on to monitor your data. Never miss an opportunity for improvement thanks to real-time monitoring and instant alerts. Integrate your push-notifications with the platform you use everyday - Slack, MS Teams, or email - ensuring that you never miss an alert. •Localization Support: With Custom Localization Support, you’re in control of your dashboard and report. Authors have the ability to localize titles and labels, text explanations, and data visualizations. There is more to localization than just translating words and sentences. Wyn’s custom localization also supports right to left (RTL) languages, regional language options, and number and date formats. •NEW! Natural Language Generation Text Scenario: Introducing InsightIQ, a revolutionary addition to our feature set that transforms the way you interact with your data. InsightIQ is a Natural Language Generation Text Scenario that takes data summarization and insights derivation to a whole new level. This powerful tool allows you to seamlessly distill the essence of your visuals into articulate and easy-to-understand natural language text, facilitating quick reviews and automatic insights extraction. • Built-in multi-tenant support: Wyn's multi-tenant capabilities provides a single centrally administered architecture to serve multiple customers (tenants). These tenants can be within an organization or different businesses, with all its data stored in the SaaS system. Data privacy and securing the data from other tenants are both critical in these deployment scenarios • Date governance and modeling: Wyn allows you to secure and model your raw data. With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data. Wyn also allows allows admins to model business data in a structure familiar to users. • Extensible security: Wyn provides extensible security to match your access control needs. Filter and segregate your data and limit your tenant-specific data with the configurable role-based security and user-context definitions. User contexts provide row-level data security in a document or database-level security for a data source. User context acts as an additional layer of data security, extending the role-based security. • Specialized web portals: The software comes with three portals, the document portal; for business end-users, dashboard, and report authors, the admin portal; for admins that configure the server, manage account and security settings, and the resource portal; for data administrators or IT teams. • Pixel-perfect reports: For power users and business users, the report designer tools can help in developing pixel-perfect operational reports, as well as in creating invoices, letters, and account statements among many others. The software further allows you to use ad hoc reporting or the standard enterprise reports. • Efficient Report Sharing: The software also allows you to schedule automated delivery of reports to be sent to your team’s emails. File sharing in various document formats is also supported. Additionally, you can collaborate with your team on report and dashboard designs, and you can share the published versions with others in your enterprise. • Centralized storage; Apart from being a secured platform, Wyn Enterprise also provides centralized storage for all your reports, images, datasets, and configuration settings. Other server resources, such as dashboards, themes, models, users, and roles, are also stored in the same place. The software also allows you to compile data from relational databases, local Excel or CSV files, web sources, and NoSQL data sources. Say Goodbye to User Fees You need a scalable BI platform. You also need to know how much it will cost in the long run. Wyn's scalable licensing model allows room for your business to grow without growth in licensing fees. • No per-user fees • No limits on data size 20+ Years in the Industry Unleash the full potential of embedded ad hoc reporting, driven by the same ActiveReports engine that has led the industry for 20+ years. **Average Rating:** 4.7/5.0 **Total Reviews:** 38 **How Do G2 Users Rate wynEnterprise?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.2/10) - **Steps to Answer:** 9.1/10 (Category avg: 8.4/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.7/10 (Category avg: 8.5/10) **Who Is the Company Behind wynEnterprise?** - **Seller:** [wynEnterprise LLC](https://www.g2.com/sellers/wynenterprise-llc) - **Company Website:** https://www.wynenterprise.com - **Year Founded:** 2018 - **HQ Location:** 7400 Beaufont Springs Dr., St 300, Richmond VA 23225 - **LinkedIn® Page:** https://www.linkedin.com/company/wynenterprise/ (28 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 53% Small-Business, 37% Mid-Market #### What Are wynEnterprise's Pros and Cons? **Pros:** - Customer Support (10 reviews) - Ease of Use (10 reviews) - Flexibility (8 reviews) - Reporting (7 reviews) - Customization (6 reviews) **Cons:** - Poor Documentation (5 reviews) - Complexity (2 reviews) - Lack of Detail (2 reviews) - Missing Features (2 reviews) - Update Issues (2 reviews) ### What Do G2 Reviewers Say About wynEnterprise? *AI-generated summary from verified user reviews* **Pros:** - Users value the **excellent customer support** of wynEnterprise, ensuring timely assistance for any technical issues encountered. - Users value the **ease of use** of wynEnterprise, appreciating its straightforward implementation and intuitive design features. - Users value the **flexibility** of wynEnterprise, which easily adapts to various data sources and customization needs. - Users commend the **impressive reporting capabilities** of wynEnterprise, enabling effective data analysis and visualization. - Users value the **highly customizable features** of wynEnterprise, enhancing data visualization and brand matching effortlessly. **Cons:** - Users find the **poor documentation** challenging, making it difficult to navigate the system's extensive features. - Users find the **complexity** of wynEnterprise challenging, with a steep learning curve and a need for improved documentation. - Users find the **lack of detailed instructions** for version upgrades to be frustrating and limiting for their experience. - Users note a **lack of documentation and features** , limiting the usability and potential of wynEnterprise compared to competitors. - Users find **update issues** cumbersome, needing to back up environments which adds administrative overhead before applying updates. #### What Are Recent G2 Reviews of wynEnterprise? **"[Flexible Dashboards and Centralized Enterprise Data Access Control](https://www.g2.com/survey_responses/wynenterprise-review-12315453)"** **Rating:** 4.5/5.0 stars *— Ali E.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12315453) --- **"[Flexible Visualization for Business Insights](https://www.g2.com/survey_responses/wynenterprise-review-12170715)"** **Rating:** 4.0/5.0 stars *— Satyam k.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12170715) --- #### What Are G2 Users Discussing About wynEnterprise? - [What is Wyn Enterprise used for?](https://www.g2.com/discussions/what-is-wyn-enterprise-used-for) ### 5. [Astrato](https://www.g2.com/products/astrato/reviews) 𝗔𝘀𝘁𝗿𝗮𝘁𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲-𝗻𝗮𝘁𝗶𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝗲𝗺𝗯𝗲𝗱, 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗖𝗹𝗶𝗰𝗸𝗛𝗼𝘂𝘀𝗲, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗗𝗿𝗲𝗺𝗶𝗼. Astrato's zero-copy architecture connects to the warehouse via a live-query engine, which means every dashboard, report, and workflow runs against the source data in real time — without extracts, data movement, or cached copies. Security policies such as row-level access controls and PII masking are inherited directly from the warehouse, reducing governance overhead for IT and data teams. 𝗧𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗿𝗲𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: • 𝗚𝘂𝗶𝗱𝗲𝗱 𝘀𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗜. A no-code interface with 70+ out-of-the-box chart types allows business users to explore data, build dashboards, and generate reports without SQL. A shared semantic layer ensures governed, reusable metric definitions across all users and content. No-code Actions let designers chain clicks, filters, and navigation into guided flows — so end users get an app-like experience, not a blank dashboard. • 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. Fully white-labeled dashboards and workflows can be embedded into external products, portals, CRMs, ERPs, and intranet tools. Three embedding modes are supported — single object, grouped visuals, or full interactive workbooks — delivered via iframe with mobile-responsive layouts. Multi-tenant isolation is enforced at both warehouse and application level via row-level filters, group permissions, and SSO pass-through. Built-in usage telemetry tracks engagement, exploration patterns, and drop-off. • 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝘀 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Writeback capabilities let users push data back into the warehouse from any dashboard, app, or embedded view — supporting planning, forecasting, approvals, and field updates. No-code forms with validation, conditional logic, and multi-step flows can be built without engineering. Action buttons can trigger stored procedures, external functions, Salesforce updates, Slack posts, and emails, so analytics drive downstream action. 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. Live, branded reports generated from the warehouse and delivered automatically in PDF, Excel, PowerPoint, or image format to email, Slack, Microsoft Teams, or SharePoint. Teams can upload their own Excel or PowerPoint templates and have them populated with live data at run-time. Per-recipient row-level security ensures governed distribution, and reports can be archived to S3, Google Drive, or SharePoint for audit and compliance. • 𝗚𝗲𝗻 𝗔𝗜 & 𝗕𝗜 𝗖𝗼𝗽𝗶𝗹𝗼𝘁. Contextual AI Insights generate summaries that regenerate as users filter and drill. BI Copilot accelerates build time by generating chart titles, business-friendly field labels, and complex measures like YoY growth or retention from plain-language input. Custom Report lets end users ask questions in natural language and get visualizations back. Every AI output is grounded in the semantic layer. Bring your own LLM — Snowflake Cortex, OpenAI, Azure OpenAI, Claude by Anthropic, or Google Gemini — or use the default provider. With Snowflake Cortex, queries execute inside the warehouse and data never leaves. Admins control AI features via independent per-capability toggles. • 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. Dashboards can be embedded with full white-label control over colours, fonts, logos, layout, and domain. Authentication is handled via SSO pass-through, OAuth, or token-based access. SCIM and APIs support automated user provisioning at scale. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹. Role-based access control across view, edit, design, export, and admin. Workbook lifecycle governance with draft, version, publish workflows and change tracking. Row-level security inherited from the warehouse or configured per semantic layer. • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: SOC 2 Type II, ISO 27001 certified, HIPAA compliant, GDPR-ready. Snowflake Technology Partner and Google Cloud Ready – BigQuery. Astrato is used by data teams, product teams, and analytics leaders across SaaS companies, data businesses, agencies, and enterprises. Pricing is structured to scale with embedded use cases involving large numbers of external users. **Average Rating:** 4.7/5.0 **Total Reviews:** 24 **How Do G2 Users Rate Astrato?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 9.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Astrato?** - **Seller:** [Astrato Analytics](https://www.g2.com/sellers/astrato-analytics) - **Year Founded:** 2023 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/astratoanalytics/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 32% Small-Business #### What Are Astrato's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Customer Support (8 reviews) - Integrations (8 reviews) - Learning Efficiency (6 reviews) - Dashboard Customization (5 reviews) **Cons:** - Missing Features (3 reviews) - Bugs (2 reviews) - Complex Data Modeling (2 reviews) - Complex Usage (2 reviews) - Learning Curve (2 reviews) ### What Do G2 Reviewers Say About Astrato? *AI-generated summary from verified user reviews* **Pros:** - Users rave about Astrato's **ease of use** , enjoying intuitive design and seamless integration for powerful analytics. - Users commend the **exceptional customer support** of Astrato, highlighting its responsiveness and helpfulness in improving the product. - Users commend the **seamless integration** with Snowflake, enhancing implementation speed and overall efficiency. - Users value the **learning efficiency** of Astrato, benefiting from easy onboarding and strong support throughout the process. - Users value the **customizable dashboards** of Astrato, enabling effortless data insights and user-friendly analytics for all. **Cons:** - Users find some **missing features** in Astrato, affecting usability compared to more established BI tools. - Users report encountering **bugs** in Astrato, affecting usability and complicating the overall experience of the tool. - Users note that **complex data modeling** may require advanced skills, complicating the use of Astrato for intricate projects. - Users find Astrato's **complex usage** challenging due to bugs and a steep learning curve compared to established tools. - Users note a **steep learning curve** with Astrato, impacting usability and requiring adjustments compared to established tools. #### What Are Recent G2 Reviews of Astrato? **"[Intuitive, Flexible Platform for Powerful Data Analysis](https://www.g2.com/survey_responses/astrato-review-12432634)"** **Rating:** 5.0/5.0 stars *— David M.* [Read full review](https://www.g2.com/survey_responses/astrato-review-12432634) --- **"[Real-time insights by getting the most out of whatever sits underneath](https://www.g2.com/survey_responses/astrato-review-12432983)"** **Rating:** 5.0/5.0 stars *— Sergio d.* [Read full review](https://www.g2.com/survey_responses/astrato-review-12432983) --- ### 6. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **How Do G2 Users Rate ILUM?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.2/10) - **Steps to Answer:** 9.8/10 (Category avg: 8.4/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.8/10 (Category avg: 8.5/10) **Who Is the Company Behind ILUM?** - **Seller:** [Ilum](https://www.g2.com/sellers/ilum) - **Company Website:** https://ilum.cloud/ - **Year Founded:** 2019 - **HQ Location:** Santa Fe, US - **Twitter:** @IlumCloud (19 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ilum-cloud/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Telecommunications - **Company Size:** 52% Enterprise, 35% Mid-Market #### What Are ILUM's Pros and Cons? **Pros:** - Ease of Use (17 reviews) - Features (17 reviews) - Integrations (17 reviews) - Setup Ease (16 reviews) - Easy Integrations (15 reviews) **Cons:** - Complex Setup (9 reviews) - Difficult Setup (9 reviews) - Learning Curve (9 reviews) - UX Improvement (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users praise ILUM for its **ease of use** , which simplifies data processing and integration seamlessly across platforms. - Users appreciate the **seamless integration** of ILUM with existing systems, enhancing workflows and data management efficiency. - Users value the **seamless integrations** of ILUM, enhancing their workflows and data management across various systems. - Users appreciate the **seamless setup process** of ILUM, enabling quick deployment and integration with existing systems. - Users value the **seamless integrations** of ILUM, significantly enhancing their data management and analytics processes without complications. **Cons:** - Users find the **complex setup** challenging initially, needing experimentation and deeper understanding for advanced configurations. - Users find the **difficult setup** of ILUM challenging, especially for advanced configurations and on-prem environments. - Users find the **learning curve steep** initially, but daily use becomes intuitive with support and training. - Users note that the **UI can feel unpolished and less intuitive** , making setup and navigation challenging for some teams. - Users note that ILUM's **complexity in configuration** can require significant effort to navigate and optimize effectively. #### What Are Recent G2 Reviews of ILUM? **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- ### 7. [Phocas Software](https://www.g2.com/products/phocas-software/reviews) Phocas Software delivers cloud-based business intelligence (BI) and financial planning and analysis (FP&A) solutions for mid-market businesses in wholesale distribution, manufacturing, and retail. Phocas delivers an intuitive, accessible platform that simplifies data analysis and financial planning, empowering organizations to make confident, data-driven decisions. Seamlessly integrating with ERP systems and any other source, Phocas consolidates data into a centralized platform. Unlocking the potential of ERP data and delivering improvements at every business level. Its BI core enables users to explore data, spot trends, and find opportunities. FP&A tools support dynamic financial reporting, flexible budgeting, performance tracking and accurate forecasts. Plus, Phocas offers automated rebate management. Phocas Analytics A BI tool that connects businesses around one central data source. It’s fast, secure and designed to be self-serve for everyone. Up-to-date data is easy to access and explore empowering people to understand and improve the business at any level – by branch, division, sales, product, customer. • Data consolidation: ERP + other data sources automatically consolidated into a centralized platform • AI natural language: query data using Phocas AI and get instant answers • Drill down: Explore data from high-level overviews to transactional detail • Enhanced analysis: Flexible pivot tables enable custom data analysis • Ad hoc reporting: Build custom reports and dashboards in minutes and with ease • Visualizations & dashboards: Transform live data into custom dashboards, charts, graphs and sparklines Phocas Financial Statements Designed to help businesses easily and accurately report on their financial health and performance. ERP numbers are transformed into dynamic profit and loss (income statement), balance sheet and cashflow statements. Empowering users to quickly explore data in detail and to proactively solve problems. • Customize: Easily adjust statements to suit cross-functional teams • Fast: speed up month-end with automated financial data consolidation and reporting • Live actuals: work with reliable, up-to-date actuals with formulas and ratios baked into the tool • Drill down: slice, dice and drill down to transaction-level detail • Side-by-side analysis: compare statements across different periods, branches, divisions • User-based access: secure visibility and direction for end business users Phocas Budgets & Forecasts Consolidates planning across the business in one place – financial budgets, sales forecasts, headcount, demand planning. As easy to use as a spreadsheet, just faster and custom-built. • Automated: budgets and forecasts are populated with live ERP data so actuals are always reliable • Flexible: adapts to growing business needs; handles increased complexity, detailed planning • Easy tracking: use live actuals to regularly track performance, compare to budgets, quickly reforecast • Collaborative: assignment, submission and approval processes make cross-functional input quick and stress-free • Versatile: facilitates driver-based, multi-level, 3-statement budgeting, unlimited scenario planning Phocas Rebates Automated payable and receivable rebate management that improves accuracy and delivers more profitable outcomes. A self-serve tool that makes it easy to identify trends, spot near misses, and assess overall performance. With real-time updates, users can quickly optimize product offers, pricing, and purchasing decisions to align with emerging opportunities. Enabling businesses to maximize profitability and strengthen partnerships. **Average Rating:** 4.6/5.0 **Total Reviews:** 188 **How Do G2 Users Rate Phocas Software?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Phocas Software?** - **Seller:** [Phocas Software](https://www.g2.com/sellers/phocas-software) - **Company Website:** https://www.phocassoftware.com - **Year Founded:** 1999 - **HQ Location:** Sydney, AU - **LinkedIn® Page:** https://www.linkedin.com/company/1114241/ (332 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Wholesale, Electrical/Electronic Manufacturing - **Company Size:** 66% Mid-Market, 23% Small-Business #### What Are Phocas Software's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Capabilities (5 reviews) - Data Analysis (5 reviews) - Report Creation (5 reviews) - Reporting Efficiency (5 reviews) **Cons:** - Feature Improvements (3 reviews) - Improvements Needed (3 reviews) - Missing Features (3 reviews) - Missing Functionality (3 reviews) - Bugs (2 reviews) ### What Do G2 Reviewers Say About Phocas Software? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** in Phocas Software, enabling quick insights and seamless data interpretation. - Users value the **intuitive data analysis capabilities** of Phocas Software, enhancing decision-making and trend spotting effortlessly. - Users appreciate the **speed to insight and clarity** provided by Phocas Software, enhancing decision-making and reporting. - Users value the **effortless report creation** in Phocas Software, enabling clear decision-making through accessible data insights. - Users value the **reporting efficiency** of Phocas Software, enhancing decision-making through clear, accessible data insights. **Cons:** - Users find **feature improvements** necessary in Phocas Software for better handling of complex operational needs. - Users note a need for **improved budgeting features** and automated updates in Phocas Software for better efficiency. - Users note the **missing features** in Phocas Software, highlighting issues with data handling and user experience complexity. - Users find **missing functionality** in Phocas Software, particularly regarding real-time data and contract-level insights. - Users experience **date format issues** that complicate database setup and lead to potential data loss in the US. #### What Are Recent G2 Reviews of Phocas Software? **"[Phocas Software: Delivering Decision-Ready Insight, Commercial Control, and Governance at Scale](https://www.g2.com/survey_responses/phocas-software-review-12082649)"** **Rating:** 5.0/5.0 stars *— Lyndon R.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12082649) --- **"[Effortless Data Integration and Visualization with Phocas](https://www.g2.com/survey_responses/phocas-software-review-12057725)"** **Rating:** 5.0/5.0 stars *— Matthew W.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12057725) --- #### What Are G2 Users Discussing About Phocas Software? - [What is Phocas Software used for?](https://www.g2.com/discussions/what-is-phocas-software-used-for) - 1 comment ### 8. [InsightOut](https://www.g2.com/products/insightout/reviews) InsightOut is a unified data analytics platform from Treehouse Technology Group that enables business teams to do more with their data. Business users can extract insights and value from their data in context and at scale, with self-service simplicity. Our end-to-end data solution aggregates, cleans, and blends fragmented data across departments — no matter the data source or volume — within a visual command center. With purpose-built dashboards and intuitive visualizations, users have a 360° view of the business and can independently manage and analyze data at the speed of thought, without reliance on IT. Beyond data visualization, automated data discovery surfaces actionable business insights from the underlying data. This enables proactive decision-making to accelerate your time to market, mitigate risk, and enhance your operational efficiency. Designed to support the workflows unique to your organization, InsightOut’s dynamic reporting and native Excel add-in fosters data distribution and collaboration throughout your extended enterprise of internal and external stakeholders. By joining best-in-class solutions in business intelligence and business planning, InsightOut empowers business leaders to drive growth and lead with data. Treehouse Technology Group is a technology and data strategy consulting firm, providing data development and software implementation services since 2014. We are a trusted technology partner to the Fortune 500, world-class innovators, and capital market leaders. Our valued customers include Envision Healthcare, Mars Petcare, Fidelity, Teleflex, Bain Capital, Berkshire Partners, and Wynn Resorts. **Average Rating:** 4.6/5.0 **Total Reviews:** 49 **How Do G2 Users Rate InsightOut?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind InsightOut?** - **Seller:** [Wolf & Company, P.C.](https://www.g2.com/sellers/wolf-company-p-c) - **Year Founded:** 1911 - **HQ Location:** Boston, Massachusetts - **LinkedIn® Page:** https://www.linkedin.com/company/wolf-&-company-p-c-/ (546 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Accounting - **Company Size:** 52% Mid-Market, 38% Small-Business #### What Are Recent G2 Reviews of InsightOut? **"[Great job in field of Transportation and Logistics](https://www.g2.com/survey_responses/insightout-review-8348214)"** **Rating:** 5.0/5.0 stars *— Shivam S.* [Read full review](https://www.g2.com/survey_responses/insightout-review-8348214) --- **"[InsightOut is taking us to the next level of data analytics!](https://www.g2.com/survey_responses/insightout-review-8198660)"** **Rating:** 5.0/5.0 stars *— Greg D.* [Read full review](https://www.g2.com/survey_responses/insightout-review-8198660) --- ### 9. [Board](https://www.g2.com/products/board/reviews) Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully integrated planning solution spans the entire enterprise, delivering value for financial and operational planning in one unified platform. Using internal data and expert-curated external indicators, Board provides real-time visibility into your business. Board offers the most flexible, collaborative and adaptive user experience, powering executive dashboards and analytic capabilities that allows clear explanation and interpretation delivered through generative AI. This allows organizations to respond in an agile manner: capitalize on opportunities, optimize resources and mitigate risks. **Average Rating:** 4.4/5.0 **Total Reviews:** 301 **How Do G2 Users Rate Board?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.4/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Board?** - **Seller:** [Board International](https://www.g2.com/sellers/board-international) - **Company Website:** https://www.board.com - **Year Founded:** 1994 - **HQ Location:** Chiasso, Ticino - **Twitter:** @BoardSoftware (27,073 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/98246/ (932 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Mid-Market, 40% Enterprise #### What Are Board's Pros and Cons? **Pros:** - Ease of Use (26 reviews) - Flexibility (21 reviews) - Features (20 reviews) - Efficiency (18 reviews) - Customization (16 reviews) **Cons:** - Slow Performance (9 reviews) - Learning Curve (8 reviews) - Missing Features (8 reviews) - Poor Visualization (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About Board? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Board, thanks to its intuitive interface and low-code approach. - Users value the **flexibility** of Board, as it easily adapts to diverse business needs and workflows. - Users value the **centralized access to information** of Board, streamlining collaboration and enhancing decision-making efficiency. - Users value the **efficiency** of Board, significantly reducing time wasted on administrative tasks and improving focus on decisions. - Users appreciate the **customization flexibility** of Board, enabling tailored solutions for diverse business needs and projects. **Cons:** - Users experience **slow performance** with large datasets and complexity in setup, affecting their overall efficiency with Board. - Users find the **learning curve steep** with Board, complicating initial setup and advanced feature utilization. - Users note the **missing features** in Board, such as inadequate layout selections and limited computation options. - Users find the **poor visualization** of Board less effective, especially compared to other tools for dashboard design. - Users find the **complexity of configuration** in Board challenging, especially for newcomers needing training for advanced features. #### What Are Recent G2 Reviews of Board? **"[Insightful Yet Challenging for Forecasting](https://www.g2.com/survey_responses/board-review-13069480)"** **Rating:** 4.5/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/board-review-13069480) --- **"[Almost Unlimited Flexibility Across Data Models, Workflows, and Reports](https://www.g2.com/survey_responses/board-review-12625234)"** **Rating:** 4.5/5.0 stars *— Peter T.* [Read full review](https://www.g2.com/survey_responses/board-review-12625234) --- #### What Are G2 Users Discussing About Board? - [What is Board used for?](https://www.g2.com/discussions/what-is-board-used-for) - 1 upvote ### 10. [ConverSight](https://www.g2.com/products/conversight/reviews) ConverSight is a Contextual Decision Intelligence Platform, built based on its patented Augmented Conversational AI and Analytics techniques. ConverSight's AI assistant, Athena, delivers business insights by connecting to customer’s data and generating insights & recommendations using machine learning techniques. With ConverSight, businesses are able to implement artificial intelligence in their response planning methods, allowing for better accuracy, stronger decision-making, and smoother reaction times, which ultimately reduces costs and drastically improves the function of the supply chain. ConverSight acts as a Supply Chain Control Tower to help businesses optimize operations, minimize disruptions, and resolve critical issues in real time. ConverSight's AI business assistant, Athena, offers businesses greater data visibility and insights to proactively improve their supply chains and make other accurate, informed decisions **Average Rating:** 4.6/5.0 **Total Reviews:** 40 **How Do G2 Users Rate ConverSight?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind ConverSight?** - **Seller:** [ConverSight](https://www.g2.com/sellers/conversight) - **Company Website:** https://conversight.ai - **Year Founded:** 2017 - **HQ Location:** Indianapolis, IN - **Twitter:** @ConverSight_ai (176 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/conversight/ (91 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Food & Beverages - **Company Size:** 81% Small-Business, 16% Mid-Market #### What Are ConverSight's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Efficiency (6 reviews) - Integrations (6 reviews) - Performance (6 reviews) - Helpful (5 reviews) **Cons:** - Complexity (7 reviews) - Limited Customization (5 reviews) - Data Integration (4 reviews) - Integration Issues (4 reviews) - Learning Curve (4 reviews) ### What Do G2 Reviewers Say About ConverSight? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of ConverSight, allowing quick access to data and seamless reporting. - Users highlight the **efficiency** of ConverSight in seamlessly integrating data and enabling quick, informed decision-making. - Users appreciate the **seamless integrations** of ConverSight, enabling instant access to consolidated data across multiple systems. - Users value the **speed and integration** of ConverSight, enabling rapid and informed decision-making across systems. - Users value the **conversational insights** and visual dashboards of ConverSight, enhancing sales performance measurement effortlessly. **Cons:** - Users find **complexity** in multi-layered queries and data integration, complicating their overall experience with ConverSight. - Users note the **limited customization** options in ConverSight, affecting specific terminology and data presentation preferences. - Users find **data integration challenging** with legacy systems, requiring tailored solutions and struggling with query ambiguities. - Users face **integration issues** with ConverSight, especially when connecting niche data sources and customizing report formats. - Users face a **steep learning curve** with ConverSight, especially regarding multi-layered questions and data integration complexities. #### What Are Recent G2 Reviews of ConverSight? **"[It's our practical solution for faster and more consistent reporting](https://www.g2.com/survey_responses/conversight-review-12522561)"** **Rating:** 4.5/5.0 stars *— Ludmila B.* [Read full review](https://www.g2.com/survey_responses/conversight-review-12522561) --- **"[It urns complex data into actionable insights](https://www.g2.com/survey_responses/conversight-review-12467977)"** **Rating:** 4.5/5.0 stars *— Ramon V.* [Read full review](https://www.g2.com/survey_responses/conversight-review-12467977) --- #### What Are G2 Users Discussing About ConverSight? - [What is ConverSight.ai used for?](https://www.g2.com/discussions/what-is-conversight-ai-used-for) ### 11. [Mode](https://www.g2.com/products/mode-mode/reviews) Mode is the first BI platform to embrace the way modern data teams work, which enables data leaders to drive more efficient, higher impact analysis and increased data maturity through true self-service. As the unified intelligence layer, Mode maximizes modern data stack ROI and turns data into a competitive advantage for leading businesses across all sectors and stages. **Average Rating:** 4.5/5.0 **Total Reviews:** 319 **How Do G2 Users Rate Mode?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Mode?** - **Seller:** [Mode Analytics, Inc.](https://www.g2.com/sellers/mode-analytics-inc) - **Year Founded:** 2013 - **HQ Location:** San Francisco, California - **Twitter:** @ModeAnalytics (6,658 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3307518/ (683 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Mid-Market, 29% Enterprise #### What Are Mode's Pros and Cons? **Pros:** - Capabilities (1 reviews) - Customization (1 reviews) - Ease of Implementation (1 reviews) - Ease of Use (1 reviews) - Efficiency (1 reviews) **Cons:** - Complex Setup (1 reviews) - Complex Usage (1 reviews) - Data Integration (1 reviews) - Difficult Learning (1 reviews) - Initial Difficulty (1 reviews) ### What Do G2 Reviewers Say About Mode? *AI-generated summary from verified user reviews* **Pros:** - Users value the **clean UI and comprehensive visibility** of Mode, enhancing collaboration between analysts and business users. - Users value the **customization options** in Mode, enhancing data exploration while meeting diverse user needs effectively. - Users appreciate the **ease of implementation** with Mode, benefiting from seamless organization-wide access and SSO functionality. - Users appreciate the **ease of use** in Mode, facilitating seamless access and functionality for both analysts and business users. - Users value the **efficiency of Mode** for tracking feature usage, enhancing analysis for both analysts and business users. **Cons:** - Users find **complex setup** challenging, especially for less technical users needing admin support for integration. - Users find **onboarding complex** , especially for non-technical users, requiring significant admin support for effective integration. - Users find **onboarding less technical users challenging** , requiring admin support for effective data source integration. - Users find **difficult learning** curves for non-technical users, requiring admin support for seamless integration and onboarding. - Users find the **initial difficulty** challenging when onboarding less technical users, requiring admin support for authentication. #### What Are Recent G2 Reviews of Mode? **"[Powerful and Flexible platform for data driven decision making](https://www.g2.com/survey_responses/mode-review-11476277)"** **Rating:** 4.5/5.0 stars *— Gopi k.* [Read full review](https://www.g2.com/survey_responses/mode-review-11476277) --- **"[Outstanding!](https://www.g2.com/survey_responses/mode-review-7980594)"** **Rating:** 5.0/5.0 stars *— Stephan R.* [Read full review](https://www.g2.com/survey_responses/mode-review-7980594) --- ### 12. [Sisense](https://www.g2.com/products/sisense/reviews) Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. **Average Rating:** 4.2/5.0 **Total Reviews:** 986 **How Do G2 Users Rate Sisense?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.2/10) - **Steps to Answer:** 7.7/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Sisense?** - **Seller:** [Sisense, Inc.](https://www.g2.com/sellers/sisense-inc) - **Company Website:** https://www.sisense.com - **Year Founded:** 2004 - **HQ Location:** New York - **Twitter:** @Sisense (6,543 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/148828/ (546 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Product Manager - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Mid-Market, 24% Small-Business #### What Are Sisense's Pros and Cons? **Pros:** - Ease of Use (81 reviews) - Data Visualization (50 reviews) - Integrations (45 reviews) - Customer Support (40 reviews) - Dashboard Customization (38 reviews) **Cons:** - Learning Curve (37 reviews) - Missing Features (27 reviews) - Bugs (21 reviews) - Dashboard Issues (20 reviews) - Limited Customization (18 reviews) ### What Do G2 Reviewers Say About Sisense? *AI-generated summary from verified user reviews* **Pros:** - Users find Sisense to be **exceptionally easy to use** , simplifying complex data handling with intuitive dashboards. - Users value the **easy creation of dashboards and widgets** in Sisense, enhancing data insights and user experience. - Users value the **seamless integrations** of Sisense, enabling efficient data management across multiple platforms with ease. - Users value the **amazing customer support** of Sisense, highlighting quick responses and helpful assistance during setup and integration. - Users value the **dashboard customization** in Sisense, significantly enhancing data presentation and user interaction. **Cons:** - Users face a **steep learning curve** with Sisense, complicating setup and prolonging the time to effective use. - Users are frustrated by **missing features** in Sisense, such as inadequate visualization options and vague error messages. - Users find the **bugs in Sisense** problematic, especially with scripts and inconsistent support affecting operations. - Users report **dashboard issues** due to tedious setup, slow refresh times, and a lack of user-friendly customization options. - Users find **limited customization** options for dashboards, complicating use for those without technical expertise. #### What Are Recent G2 Reviews of Sisense? **"[Customizable Dashboards, but Data Freshness Challenges](https://www.g2.com/survey_responses/sisense-review-8849455)"** **Rating:** 4.5/5.0 stars *— Chris P.* [Read full review](https://www.g2.com/survey_responses/sisense-review-8849455) --- **"[Powerful BI Tool with Flexible Customization](https://www.g2.com/survey_responses/sisense-review-8044935)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/sisense-review-8044935) --- #### What Are G2 Users Discussing About Sisense? - [What is Sisense used for?](https://www.g2.com/discussions/sisense-what-is-sisense-used-for) - 1 comment - [What is Sisense Healthcare Analytics used for?](https://www.g2.com/discussions/what-is-sisense-healthcare-analytics-used-for) - [What does Sisense cost?](https://www.g2.com/discussions/what-does-sisense-cost) - [Who uses Sisense?](https://www.g2.com/discussions/who-uses-sisense) - 1 comment - [What is Sisense used for?](https://www.g2.com/discussions/what-is-sisense-used-for) - 2 comments ### 13. [SAS Augmented Analytics & Business Intelligence](https://www.g2.com/products/sas-augmented-analytics-business-intelligence/reviews) SAS offers an integrated, robust and flexible presentation layer for the full breadth of SAS Analytics capabilities **Average Rating:** 4.3/5.0 **Total Reviews:** 68 **How Do G2 Users Rate SAS Augmented Analytics & Business Intelligence?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.2/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind SAS Augmented Analytics & Business Intelligence?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 60% Enterprise, 24% Mid-Market #### What Are Recent G2 Reviews of SAS Augmented Analytics & Business Intelligence? **"[SAS BI - APAC LOGISTICS LEADER](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524)"** **Rating:** 4.5/5.0 stars *— Sathish A.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524) --- **"[Invulnerable From Conclusion to Conclusion The extreme announcing arrangement for SAP Trade Insights](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320)"** **Rating:** 4.0/5.0 stars *— Akash S.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320) --- #### What Are G2 Users Discussing About SAS Augmented Analytics & Business Intelligence? - [How much does SAS cost?](https://www.g2.com/discussions/how-much-does-sas-cost) - [What does SAS software do?](https://www.g2.com/discussions/what-does-sas-software-do) - [What does the SAS Intelligence Platform contain?](https://www.g2.com/discussions/what-does-the-sas-intelligence-platform-contain) - [What is SAS Business Intelligence?](https://www.g2.com/discussions/what-is-sas-business-intelligence) - 2 comments ### 14. [Qbo](https://www.g2.com/products/qbo/reviews) Unscrambl’s 'Qbo' is an AI-powered, personal data analyst that allows business users to have natural language conversations with their data. Key features include NLQ, NLG, Automated Insights, machine initiated conversations, and active collaboration. Unscrambl Qbo is available as a native application on Microsoft Teams, deeply leveraging capabilities to enable remote workers with ‘live’ access to insights, storyboards during their work and meetings. **Average Rating:** 4.7/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Qbo?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Qbo?** - **Seller:** [Unscrambl Inc](https://www.g2.com/sellers/unscrambl-inc) - **Year Founded:** 2013 - **HQ Location:** Atlanta, US - **Twitter:** @unscrambl (163 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/unscrambl/ (5 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Accounting - **Company Size:** 69% Mid-Market, 28% Small-Business #### What Are Qbo's Pros and Cons? **Pros:** - Efficiency (2 reviews) - Automation (1 reviews) - Ease of Learning (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) **Cons:** - Complexity (1 reviews) - Confusing Pricing (1 reviews) - Expensive (1 reviews) - Learning Curve (1 reviews) - UX Improvement (1 reviews) ### What Do G2 Reviewers Say About Qbo? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficiency** of Qbo with Proconnect integration and streamlined reporting, minimizing manual data entry. - Users value the **automation capabilities** of Qbo, enhancing efficiency with quick report generation and Proconnect integration. - Users find Qbo **easy to learn** , appreciating its intuitive design and seamless integration with third-party software. - Users find Qbo to be **easy to use** , making navigation and learning effortless even for beginners. - Users value the **easy integrations** with Qbo, allowing for seamless connection and quick report generation. **Cons:** - Users find **bank reconciliation complex** , suggesting it could benefit from simplification for easier use. - Users are frustrated by the **confusing pricing** of Qbo, especially with the high costs of add-ons. - Users find the **pricing of Qbo expensive** compared to competitors, especially considering the additional costs for add-ons. - Users find the **learning curve challenging** , especially transitioning from desktop QB to Qbo's interface. - Users suggest that the **user interface needs improvement** , aiming for a more attractive and engaging design. #### What Are Recent G2 Reviews of Qbo? **"[Best accounting software in this decade.](https://www.g2.com/survey_responses/qbo-review-11545714)"** **Rating:** 5.0/5.0 stars *— Piyush K.* [Read full review](https://www.g2.com/survey_responses/qbo-review-11545714) --- **"[Best bookkeeping software in last 10 years.](https://www.g2.com/survey_responses/qbo-review-11448639)"** **Rating:** 4.5/5.0 stars *— CA Piyush M.* [Read full review](https://www.g2.com/survey_responses/qbo-review-11448639) --- ### 15. [DataGPT](https://www.g2.com/products/datagpt/reviews) DataGPT is the world's first conversational AI analyst enabling users to ask any questions about their data in natural language and receive complete answers within seconds. DataGPT is fully autonomous chatbot with memory, capable of answering complex questions like "why did revenue drop?" and having any data-related conversation with any user. DataGPT revolutionizes data analysis by letting you talk directly with your data, delivering instant, analyst-grade insights for smarter business decisions. Our customers experience significant revenue growth and cost reduction, resulting in an average ROI of 2,178% per quarter. How it works: 1. Connects to any Data Source - Easily connect, define your schema, and create a single source of truth for all users. 2. Analyst-Quality Answers - DataGPT performs expert-level analysis across every segment in your data. 3. Instant Responses - DataGPT queries millions of data points 100x faster than current data warehouses. 4. Explore and Drill into your Data - With each DataGPT answer, the Data Navigator allows further exploration and exhaustive drill down capabilities. DataGPT is a product developed and owned by Comparative, Inc. **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **How Do G2 Users Rate DataGPT?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.2/10) - **Steps to Answer:** 9.4/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind DataGPT?** - **Seller:** [Comparative](https://www.g2.com/sellers/comparative) - **Year Founded:** 2021 - **HQ Location:** San Francisco, California - **LinkedIn® Page:** https://www.linkedin.com/company/comparative/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 63% Mid-Market, 31% Small-Business #### What Are DataGPT's Pros and Cons? **Pros:** - Efficiency (1 reviews) **Cons:** - Lack of Detail (1 reviews) ### What Do G2 Reviewers Say About DataGPT? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficient data refinement** capabilities of DataGPT, enhancing their analysis from large datasets. **Cons:** - Users find a **lack of detail** in DataGPT, occasionally missing essential data needed for their tasks. #### What Are Recent G2 Reviews of DataGPT? **"[An AI Analytics Platform Powered by its Helpful Employees](https://www.g2.com/survey_responses/datagpt-review-9933737)"** **Rating:** 4.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/datagpt-review-9933737) --- **"[Filtering Data With Perfection](https://www.g2.com/survey_responses/datagpt-review-11741959)"** **Rating:** 5.0/5.0 stars *— Vishakha V.* [Read full review](https://www.g2.com/survey_responses/datagpt-review-11741959) --- ### 16. [Usermaven](https://www.g2.com/products/usermaven/reviews) Usermaven is an AI-powered marketing attribution and product analytics platform for B2B SaaS companies and agencies. It connects every marketing touchpoint to revenue using multi-touch attribution, unified website and product analytics, and CRM data, helping teams see which campaigns, channels, and ads actually drive conversions. **Average Rating:** 4.8/5.0 **Total Reviews:** 93 **How Do G2 Users Rate Usermaven?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 9.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Usermaven?** - **Seller:** [Usermaven Inc.](https://www.g2.com/sellers/usermaven-inc) - **Year Founded:** 2021 - **HQ Location:** Delaware, DE - **Twitter:** @usermaven (337 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/usermaven/ (10 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Founder, Owner - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 97% Small-Business, 3% Mid-Market #### What Are Usermaven's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Easy Setup (5 reviews) - Analytics (4 reviews) - Intuitive (4 reviews) - Setup Ease (4 reviews) **Cons:** - Learning Curve (2 reviews) - Data Visibility (1 reviews) - Difficult Customization (1 reviews) - Email Integration Issues (1 reviews) - Error Handling (1 reviews) ### What Do G2 Reviewers Say About Usermaven? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Usermaven, enjoying its clear interface and intuitive setup for analytics. - Users appreciate the **easy setup** of Usermaven, enabling effortless use and quick implementation for effective marketing analytics. - Users appreciate the **valuable analytics** of Usermaven, particularly for marketing insights and user behavior tracking. - Users love the **intuitive interface** of Usermaven, enabling easy navigation and effective data tracking without confusion. - Users praise the **effortless setup** of Usermaven, making onboarding a smooth experience without technical hurdles. **Cons:** - Users find the **learning curve steep** , needing better tutorials and documentation to fully utilize Usermaven's capabilities. - Users miss the **lack of real-time monitoring** for website visitors, unlike the previous version of Google Analytics. - Users find the **difficult customization** of Usermaven frustrating, wishing for more flexibility with branding options. - Users face **email integration issues** with Usermaven, impacting functionality despite appreciating its privacy features. - Users note that Usermaven could improve its **error handling** for bot traffic spikes during analysis. #### What Are Recent G2 Reviews of Usermaven? **"[User-friendly analytics and insights](https://www.g2.com/survey_responses/usermaven-review-9531083)"** **Rating:** 5.0/5.0 stars *— Bimbisara P.* [Read full review](https://www.g2.com/survey_responses/usermaven-review-9531083) --- **"[Effortless Setup, Powerful Insights for Marketers](https://www.g2.com/survey_responses/usermaven-review-9557773)"** **Rating:** 4.5/5.0 stars *— Donald C.* [Read full review](https://www.g2.com/survey_responses/usermaven-review-9557773) --- ### 17. [Omniscope Evo](https://www.g2.com/products/omniscope-evo/reviews) Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transform and explore it, extract insights through ML algorithms, then produce interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one self-service BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation. 🧽 Data Prep, ETL: build workflows to load, stream, blend and transform any data. 🔍 Analytics: leverage machine learning, extract insights and perform visual exploration. 📊 Visualisation: design interactive reports, publish and share your results. 📜 Extensible: augment data pipelines with your Python / R scripts, enhance reports with any JS based visualisation. 🚀 Scalable: big data preparation and live query dashboards on SQL databases. 🤝 Collaboration: multi-user synchronised edits on workflows and dashboards. 🤖 Automation API: schedule parameterised data refresh & report updates, trigger tasks, alerts, edit & query data. 💐 Universal: a fresh and smart experience on any device: Windows, Mac, Linux, Android, iOS. 🏢 Deployment: on-premises or on your cloud. Built-in user permissions / OIDC / SSO 🎨 White-label: host branded data solutions and embedded analytics **Average Rating:** 4.7/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Omniscope Evo?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.2/10) - **Steps to Answer:** 9.2/10 (Category avg: 8.4/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Omniscope Evo?** - **Seller:** [Visokio](https://www.g2.com/sellers/visokio) - **Year Founded:** 2002 - **HQ Location:** London, GB - **Twitter:** @Visokio (255 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/658108 (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 65% Small-Business, 17% Enterprise #### What Are Recent G2 Reviews of Omniscope Evo? **"[Strong ETL building tool with good dashboarding capabilities](https://www.g2.com/survey_responses/omniscope-evo-review-9711987)"** **Rating:** 5.0/5.0 stars *— Kay F.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-9711987) --- **"[The best ETL + Dataviz on the market right now](https://www.g2.com/survey_responses/omniscope-evo-review-4780627)"** **Rating:** 5.0/5.0 stars *— Alex O.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-4780627) --- #### What Are G2 Users Discussing About Omniscope Evo? - [What is Omniscope Evo used for?](https://www.g2.com/discussions/what-is-omniscope-evo-used-for) - 1 comment ### 18. [Klipfolio](https://www.g2.com/products/klipfolio/reviews) Klipfolio Klips is a dashboard and reporting platform that lets you build real-time, pixel-perfect data visualizations and distribute powerful custom dashboards and reports. It allows teams and businesses to connect, model, and visualize data from multiple sources in one place, helping your team or your clients make informed, data-driven decisions. Product Category Klips falls under the category of business intelligence and dashboard software, specifically designed to create dynamic, customizable data visualizations. It focuses on empowering small and mid-sized businesses with accessible, real-time analytics to unify their data for better insights and performance tracking. Klipfolio Klips is ideal for: - Small and Mid-Sized Businesses: Teams looking for a cost-effective way to gain actionable insights and improve decision-making with custom dashboards. - Data Analysts: Professionals who need flexible tools to model, visualize, and distribute metrics to stakeholders. - Client-Focused Organizations: Agencies or teams who want to create professional, branded dashboards for their clients. Klipfolio Klips helps businesses gain a single source of truth for their data with: - Real-Time Dashboards: Build highly customizable dashboards that update in real-time to track business performance. - Wide Data Integration: Connect to hundreds of services, APIs, databases, and spreadsheets for seamless data aggregation. - Data Modeling Tools: Transform, combine, and format data within Klipfolio to prepare it for analysis. - Customizable Visualizations: Create pixel-perfect charts, graphs, and visualizations tailored to your unique needs. - Accessible Reports: Share insights through PDF reports, scheduled emails, or published dashboard links for external access. - With Klips, teams can centralize their data, ensure consistency, and access insights anytime, anywhere, helping them make smarter, more informed decisions. **Average Rating:** 4.5/5.0 **Total Reviews:** 239 **How Do G2 Users Rate Klipfolio?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.4/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Klipfolio?** - **Seller:** [Klipfolio](https://www.g2.com/sellers/klipfolio) - **Year Founded:** 2001 - **HQ Location:** Ottawa, ON - **Twitter:** @klipfolio (4,430 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/klipfolio/ (29 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 55% Small-Business, 36% Mid-Market #### What Are Klipfolio's Pros and Cons? **Pros:** - Integrations (2 reviews) - Customer Support (1 reviews) - Ease of Understanding (1 reviews) - Ease of Use (1 reviews) - Intuition (1 reviews) **Cons:** - Limited Chart Functionality (1 reviews) ### What Do G2 Reviewers Say About Klipfolio? *AI-generated summary from verified user reviews* **Pros:** - Users love the **seamless integration capabilities** of Klipfolio, enhancing connectivity with various data sources effortlessly. - Users value the **fast and helpful customer support** of Klipfolio, ensuring a smooth experience without feeling stuck. - Users appreciate the **ease of understanding** in Klipfolio, facilitating quick setup and smooth data connections. - Users appreciate the **ease of use** of Klipfolio, enabling quick setup and seamless data source connections. - Users appreciate the **intuitive design** of Klipfolio, complemented by its clean UI and excellent integration capabilities. **Cons:** - Users find Klipfolio's **limited chart functionality** insufficient for comprehensive data analysis compared to competitors like Power BI. #### What Are Recent G2 Reviews of Klipfolio? **"[Klipfolio Review](https://www.g2.com/survey_responses/klipfolio-review-11750230)"** **Rating:** 5.0/5.0 stars *— sumeet y.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-11750230) --- **"[All the Pertinent Data at a Glance—Very Helpful](https://www.g2.com/survey_responses/klipfolio-review-12383725)"** **Rating:** 5.0/5.0 stars *— Martin S.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-12383725) --- #### What Are G2 Users Discussing About Klipfolio? - [What is Klipfolio used for?](https://www.g2.com/discussions/what-is-klipfolio-used-for) ### 19. [Draxlr](https://www.g2.com/products/draxlr/reviews) Draxlr is a self-service Business intelligence and an embedded analytics tool built for SaaS teams. Most teams get their first embedded dashboard live within days. The setup is straightforward enough that non-technical team members can build and update dashboards without writing SQL, using the drag-and-drop builder or the AI query tool that generates queries from plain English. For SaaS products that need customer-facing analytics, Draxlr embeds fully interactive dashboards via HTML, ReactJS SDK, VueJS SDK, or backend API. The Premium plan starts at $75/month and includes white labeling, unlimited customer viewers, and multi-tenant data filtering, with no per-viewer fees at any scale. For internal teams, Draxlr provides real-time dashboards, alerts when critical metrics change, scheduled reports, and secure shareable dashboard links for client reporting. Draxlr connects with all major SQL databases like Postgres, MySQL, Supabase, MariaDB, MSSQL, CockroachDB, Redshift, PlanetScale, YugaByte, BigQuery, Snowflake, ClickHouse, Databricks, Neon. **Average Rating:** 4.8/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Draxlr?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 9.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Draxlr?** - **Seller:** [Draxlr](https://www.g2.com/sellers/draxlr) - **Year Founded:** 2016 - **HQ Location:** Bengaluru, Karnataka, India - **Twitter:** @getdraxlr (71 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/draxlr-business-intelligence/ (31 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 92% Small-Business, 8% Mid-Market #### What Are Draxlr's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Customer Support (3 reviews) - Charting Features (2 reviews) - Data Visualization (2 reviews) - Setup Ease (2 reviews) **Cons:** - Learning Curve (1 reviews) - Limited Customization (1 reviews) ### What Do G2 Reviewers Say About Draxlr? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Draxlr, finding it simple and intuitive for creating dashboards quickly. - Users rave about the **excellent customer support** of Draxlr, appreciating quick responses and helpful assistance. - Users appreciate the **intuitive charting features** of Draxlr, finding it easy to create and share dashboards. - Users value the **easy-to-use data visualization** of Draxlr, significantly aiding their business growth. - Users find Draxlr's **setup ease** exceptional, enabling quick, intuitive dashboard creation for effective data visualization. **Cons:** - Users find the **user management** system of Draxlr challenging to master, requiring time to become proficient. - Users desire more **customization options** for polar and radar graphs in Draxlr to enhance their experience. #### What Are Recent G2 Reviews of Draxlr? **"[Exactly what we needed for embedded analytics at a fair price](https://www.g2.com/survey_responses/draxlr-review-12752067)"** **Rating:** 4.5/5.0 stars *— Jayesh M.* [Read full review](https://www.g2.com/survey_responses/draxlr-review-12752067) --- **"[Easy to Use with All the Features I Need](https://www.g2.com/survey_responses/draxlr-review-12746100)"** **Rating:** 5.0/5.0 stars *— Daniel P.* [Read full review](https://www.g2.com/survey_responses/draxlr-review-12746100) --- ### 20. [Discern](https://www.g2.com/products/discern/reviews) Successful businesses are founded on exceptional execution, which is driven by a deep understanding of key performance indicators (KPIs) and data insights. Achieving data clarity is challenging when sales, marketing, customer, billing, and financial data are siloed across disconnected systems and spreadsheets. Enter Discern. We automate the heavy lifting of business performance analytics, such as pipeline tracking, ARR, NRR analytics, and marketing attribution, turning what used to be days of manual reconciliation or years of BI builds into automated, real-time insights. No more wrestling with spreadsheets or questioning your numbers – just clear, consistent performance data you can trust. But we didn't stop there. Because in this new environment, understanding your own performance is only half the story. You also need industry context – and we're not talking about stale benchmarks released annually, but rather straight-from-the-source benchmarks that pick up on market changes just as they begin to manifest. Whether you're running team meetings, fine-tuning your strategy, prepping for a big board meeting, or pitching new investors, Discern helps you operate with confidence. Our combination of automated performance analytics and real-time, system-validated benchmarks gives you the complete story behind your performance, so you can focus on making the decisions that matter. **Average Rating:** 4.8/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Discern?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.2/10) - **Steps to Answer:** 7.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Discern?** - **Seller:** [Discern AI, Inc.](https://www.g2.com/sellers/discern-ai-inc) - **Year Founded:** 2020 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/74602590 (20 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 86% Mid-Market, 14% Small-Business #### What Are Discern's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Customer Support (5 reviews) - Implementation Ease (4 reviews) - Insights (4 reviews) - Analytics (3 reviews) **Cons:** - Data Inaccuracy (3 reviews) - Complexity (2 reviews) - Complex Usage (2 reviews) - Lack of Detail (2 reviews) - Learning Curve (2 reviews) ### What Do G2 Reviewers Say About Discern? *AI-generated summary from verified user reviews* **Pros:** - Users find Discern's **ease of use** invaluable, appreciating its intuitive interface and helpful support for data visualization. - Users appreciate the **responsive customer support** of Discern, enhancing their experience and ensuring effective implementation. - Users find **implementation remarkably easy** , with quick setup and responsive support streamlining their reporting processes significantly. - Users value the **efficiency in handling marketing funnel reporting** , significantly reducing time spent on data management and analysis. - Users value the **real-time analytics** of Discern, enabling informed decision-making without extensive data inquiries. **Cons:** - Users experience **data inaccuracy** with Discern, leading to confusion and requiring patience for understanding metrics. - Users find the **complexity of metrics and installation** challenging, especially those with limited technical knowledge. - Users find **complex usage** of Discern challenging, requiring significant technical knowledge to navigate effectively. - Users find the **lack of detail** in metrics can lead to confusion, especially for executives lacking context. - Users find the **learning curve steep** for Discern, citing complexity in understanding metrics and technical requirements. #### What Are Recent G2 Reviews of Discern? **"[Trustworthy ARR Reporting with Flexible, Low-Maintenance Integrations](https://www.g2.com/survey_responses/discern-review-12730296)"** **Rating:** 4.5/5.0 stars *— Nick Z.* [Read full review](https://www.g2.com/survey_responses/discern-review-12730296) --- **"[Marketing Cohort Analytics—A Million Times Easier with Discern](https://www.g2.com/survey_responses/discern-review-11149095)"** **Rating:** 5.0/5.0 stars *— Rick S.* [Read full review](https://www.g2.com/survey_responses/discern-review-11149095) --- ### 21. [Business Pulse](https://www.g2.com/products/business-pulse/reviews) Business Pulse, Chat based business intelligence platform Features: 1. Natural  Language Data Chat: Ask questions in plain English, no SQL or technical skills required. 2. Trainable, Context-Aware AI: Tailor the platform to your business by defining KPIs, domain-specific terms, and validation rules. Responses can be customized per team, and the AI improves over time through feedback. 3. Transparent, Self-Service Analytics: Empower teams, founders, marketers, product managers, ops to explore data independently, fostering data-driven decision-making across the business. 4. Exportable Insights: Convert AI-generated answers into charts, spreadsheets, or reports, perfect for meetings, reviews, or presentations. 5. Customizable Onboarding & Setup: Whether you need a fully managed solution or need assistance designing a data warehouse and semantic layer, tailored onboarding is available. 6. Secure, Compliant Data Handling: Data remains within your cloud infrastructure. Business Pulse connects securely to your semantic layer without moving data, and supports enterprise-grade security including encryption, access control, monitoring, and SOC 2 compliance in progress. 7. Wide Data Source Support: Integrates with major cloud data warehouses (BigQuery, Snowflake, Redshift) and relational databases (PostgreSQL, MySQL, SQL Server), with custom connectors available at no extra cost. Benefits: 1. Quick Business Insights for Everyone: Teams get answers in seconds, just by chatting. No BI training, dashboards, or technical barriers. 2. Faster, Smarter Decisions: Real-time access to trusted insights means faster pivots, better forecasting, and more confident choices. 3. Save Data Team Resources: Reduce the volume of ad hoc reporting requests and empower data teams to focus on high-leverage work. 4. Customizable to Fit Any Business: Define your own metrics, filters, and governance controls to ensure insights reflect how your business runs. 5. Enterprise-Ready from Day One: Built with compliance, scalability, and security in mind for organizations of any size Who Is It for? 1. Business Decision-Makers: Founders, executives, department heads needing instant answers to business questions 2. Non-Technical Teams: Marketing, product, operations, customer success, HR, and finance teams that rely on insights but don’t use BI tools 3. Data Analysts & Engineers: Looking to scale impact by enabling self-service across the org, without sacrificing governance 4. Consultants & Agencies: Deliver client-facing insights faster and with less manual effort 5. Enterprise IT & BI Teams: Wanting a secure, compliant conversational layer on top of existing infrastructure **Average Rating:** 4.9/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Business Pulse?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 9.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Business Pulse?** - **Seller:** [Venture AI](https://www.g2.com/sellers/venture-ai) - **Year Founded:** 2023 - **HQ Location:** Austin, US - **LinkedIn® Page:** https://www.linkedin.com/company/ventureaicorp (33 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Business Pulse's Pros and Cons? **Pros:** - Efficiency (5 reviews) - Ease of Use (4 reviews) - Speed (4 reviews) - Data Analysis (2 reviews) - Ease of Understanding (2 reviews) **Cons:** - Learning Curve (1 reviews) - Limited Customization (1 reviews) - Pricing Issues (1 reviews) ### What Do G2 Reviewers Say About Business Pulse? *AI-generated summary from verified user reviews* **Pros:** - Users love the **efficiency** of Business Pulse, quickly accessing insights without the hassle of navigating dashboards. - Users love the **ease of use** of Business Pulse, effortlessly obtaining instant insights through simple, everyday language queries. - Users love the **instant insights** from Business Pulse, enabling quick evaluations of campaigns and data-driven decisions. - Users value the **seamless integration of data** in Business Pulse, allowing for instant, actionable insights through chat. - Users value the **ease of understanding** of Business Pulse, enabling quick and clear insights into data and trends. **Cons:** - Users find the **learning curve challenging** , especially when formulating complex questions effectively within Business Pulse. - Users often desire **more customization options** in Business Pulse, particularly for team-wide reporting features. - Users feel there are **pricing issues** with Business Pulse that could use improvement for better accessibility. #### What Are Recent G2 Reviews of Business Pulse? **"[Our IT Company’s Trusted AI Partner](https://www.g2.com/survey_responses/business-pulse-review-11598936)"** **Rating:** 5.0/5.0 stars *— Sheri L.* [Read full review](https://www.g2.com/survey_responses/business-pulse-review-11598936) --- **"[A must-have tool for RevOps visibility and efficiency](https://www.g2.com/survey_responses/business-pulse-review-11673579)"** **Rating:** 5.0/5.0 stars *— Dylan W.* [Read full review](https://www.g2.com/survey_responses/business-pulse-review-11673579) --- ### 22. [DataWalk](https://www.g2.com/products/datawalk/reviews) DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. **Average Rating:** 4.7/5.0 **Total Reviews:** 12 **How Do G2 Users Rate DataWalk?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind DataWalk?** - **Seller:** [DataWalk](https://www.g2.com/sellers/datawalk) - **HQ Location:** Redwood City, CA - **Twitter:** @DataWalk (1,091 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datawalk/ (122 employees on LinkedIn®) - **Ownership:** DAT (WSE) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of DataWalk? **"[DataWalk is the best way to integrate complex dashboards](https://www.g2.com/survey_responses/datawalk-review-8553280)"** **Rating:** 5.0/5.0 stars *— Lisa L.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8553280) --- **"[Great analytics tool](https://www.g2.com/survey_responses/datawalk-review-8477873)"** **Rating:** 4.0/5.0 stars *— veeresh g.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8477873) --- ### 23. [Databox](https://www.g2.com/products/databox-databox/reviews) Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It helps growing companies and agencies move from dashboards to decisions by connecting directly to the tools they already use, standardizing metrics, and making performance easier to understand in the moment. Here is what teams can do with Databox: - Connect: Sync all your data from 130+ software tools, APIs, databases, or custom spreadsheets in seconds. - Prepare data: Curate, prepare, and merge raw data from multiple sources into datasets and analyze with more depth, confidence, and clarity later. - Genie, AI-Analyst: Ask questions about your performance and get clear, contextual answers in seconds. - Metrics & KPIs: Track all your company's metrics and KPIs in one place. - Dashboards: Visualize performance in real-time with interactive dashboards (custom or pre-built templates) you can share with anyone. - Reports: Create custom presentations of your data that update automatically. - Goals: Set realistic goals based on historical data, monitor your progress, then achieve them. - Forecast: Forecast what future performance will be for any metric, and see the best and worst-case scenarios. More than 20,000 growing businesses and agencies use Databox to align teams, save time, and inform predictable growth. Databox is SOC 2 certified, so your data stays secure and your team can move fast with confidence. **Average Rating:** 4.4/5.0 **Total Reviews:** 189 **How Do G2 Users Rate Databox?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Databox?** - **Seller:** [Databox](https://www.g2.com/sellers/databox) - **Year Founded:** 2012 - **HQ Location:** Boston, MA - **Twitter:** @databoxHQ (7,310 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2394209/ (116 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Founder, Marketing Manager - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 71% Small-Business, 21% Mid-Market #### What Are Databox's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Integrations (7 reviews) - Easy Integrations (6 reviews) - Customer Support (4 reviews) - Insights (4 reviews) **Cons:** - Connection Issues (1 reviews) - Connectivity Issues (1 reviews) - Expensive (1 reviews) - Expensive Pricing (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Databox? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Databox, seamlessly integrating multiple data sources for effective tracking. - Users find the **seamless integrations** of Databox invaluable for consolidating business metrics across multiple platforms. - Users love the **easy integrations** of Databox, streamlining access to all critical business metrics in one place. - Users praise Databox for its **world-class customer support** , enhancing their experience and facilitating seamless reporting. - Users value the **insightful and reliable reporting** provided by Databox, enhancing performance transparency for clients and teams. **Cons:** - Users feel that while Databox offers essential integrations, it still suffers from **connection issues** in some industry-specific applications. - Users find that Databox has **connectivity issues** , lacking integrations necessary for specific industry needs. - Users find Databox **overly expensive** due to misleading billing practices and surprise charges, leading to frustration and disputes. - Users are frustrated by Databox's **expensive pricing** and misleading billing practices, leading to disputes and dissatisfaction. - Users find the **learning curve challenging** , but adapting leads to significant time savings with Databox. #### What Are Recent G2 Reviews of Databox? **"[Game-Changer for Reporting and Performance Tracking](https://www.g2.com/survey_responses/databox-review-11137623)"** **Rating:** 5.0/5.0 stars *— Marc W.* [Read full review](https://www.g2.com/survey_responses/databox-review-11137623) --- **"[Efficient Reporting but Needs Broader Integrations](https://www.g2.com/survey_responses/databox-review-12676478)"** **Rating:** 4.0/5.0 stars *— Stephanie O.* [Read full review](https://www.g2.com/survey_responses/databox-review-12676478) --- ### 24. [PopSQL](https://www.g2.com/products/popsql/reviews) PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. \* Cross-platform compatibility with macOS, Windows, and Linux \* Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more **Average Rating:** 4.6/5.0 **Total Reviews:** 80 **How Do G2 Users Rate PopSQL?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind PopSQL?** - **Seller:** [Tiger Data (creators of TimescaleDB)](https://www.g2.com/sellers/tiger-data-creators-of-timescaledb) - **Year Founded:** 2015 - **HQ Location:** New York, New York - **Twitter:** @TigerDatabase (1,343 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timescaledb/ (40 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 43% Small-Business, 37% Mid-Market #### What Are Recent G2 Reviews of PopSQL? **"[Seamless SQL Querying Experience with popSQL. Very User Friendly and Veryuseful Application](https://www.g2.com/survey_responses/popsql-review-8458017)"** **Rating:** 5.0/5.0 stars *— Subhadip K.* [Read full review](https://www.g2.com/survey_responses/popsql-review-8458017) --- **"[PopSQL is the most seamless database client out there!](https://www.g2.com/survey_responses/popsql-review-8478059)"** **Rating:** 5.0/5.0 stars *— Eshwaran V.* [Read full review](https://www.g2.com/survey_responses/popsql-review-8478059) --- #### What Are G2 Users Discussing About PopSQL? - [What is your primary use case for PopSQL, and how does it enhance collaboration in your team?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-popsql-and-how-does-it-enhance-collaboration-in-your-team) ### 25. [Apache Superset](https://www.g2.com/products/apache-superset/reviews) Apache Superset is an open-source data exploration and visualization platform designed to handle data at scale. It enables users to create interactive dashboards and perform complex data analyses with ease. Superset supports a wide range of data sources and integrates seamlessly with various databases, making it a versatile tool for data professionals. Key Features and Functionality: - Interactive Dashboards: Build and customize dashboards with a variety of visualization options to represent data effectively. - SQL IDE: Utilize a rich SQL editor with syntax highlighting and autocomplete features for efficient query writing. - Extensive Database Support: Connect to numerous databases, including relational and non-relational systems, through a robust connector framework. - Security and Authentication: Implement granular access control and integrate with various authentication backends to ensure data security. - Scalability: Designed to scale out to large, distributed environments, accommodating the needs of growing organizations. Primary Value and User Solutions: Apache Superset empowers organizations to make data-driven decisions by providing an intuitive platform for data visualization and exploration. It addresses the need for a scalable and flexible tool that can integrate with diverse data sources, allowing users to derive insights without extensive technical expertise. By offering a user-friendly interface and powerful features, Superset enhances productivity and facilitates a deeper understanding of complex datasets. **Average Rating:** 4.4/5.0 **Total Reviews:** 50 **How Do G2 Users Rate Apache Superset?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.2/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Apache Superset?** - **Seller:** [The Apache Software Foundation (ASF)](https://www.g2.com/sellers/the-apache-software-foundation-asf) - **Year Founded:** 2014 - **HQ Location:** Ilford, GB - **Twitter:** @YobitelComm (195 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (13 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 45% Mid-Market, 34% Small-Business #### What Are Apache Superset's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Automation (1 reviews) - Ease of Understanding (1 reviews) - Easy Access (1 reviews) - Speed (1 reviews) **Cons:** - Slow Performance (1 reviews) - SQL Issues (1 reviews) - UX Improvement (1 reviews) ### What Do G2 Reviewers Say About Apache Superset? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Apache Superset, finding it both powerful and user-friendly for accessing data. - Users praise the **automation** features of Apache Superset, enabling effortless report and dashboard sharing via email and Slack. - Users appreciate the **ease of understanding** of Apache Superset, finding it simple to use for reporting. - Users find Apache Superset to offer **easy access** to data while maintaining powerful functionality. - Users appreciate the **speed and ease of use** of Apache Superset, enhancing their data access experience. **Cons:** - Users experience **slow performance** with Apache Superset, as SQL queries often get stuck and hang during execution. - Users report experiencing **SQL execution issues** where queries may hang or get stuck, disrupting workflows. - Users find the **lack of interactivity** in visualizations to diminish the overall user experience of Apache Superset. #### What Are Recent G2 Reviews of Apache Superset? **"[Superset’s Simple, Beginner-Friendly Experience](https://www.g2.com/survey_responses/apache-superset-review-9053153)"** **Rating:** 5.0/5.0 stars *— Dilaksha A.* [Read full review](https://www.g2.com/survey_responses/apache-superset-review-9053153) --- **"[Flexible Integrations and Plenty of Plugin Options](https://www.g2.com/survey_responses/apache-superset-review-8914777)"** **Rating:** 4.5/5.0 stars *— Subrat Kumar S.* [Read full review](https://www.g2.com/survey_responses/apache-superset-review-8914777) --- #### What Are G2 Users Discussing About Apache Superset? - [Is Apache superset good?](https://www.g2.com/discussions/is-apache-superset-good) - 2 comments - [What is Apache superset written in?](https://www.g2.com/discussions/what-is-apache-superset-written-in) - [What is Superset software?](https://www.g2.com/discussions/what-is-superset-software) - 1 comment - [What can you do with Apache superset?](https://www.g2.com/discussions/what-can-you-do-with-apache-superset) - 1 comment, 1 upvote ## What Is Analytics Platforms? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Analytics Platforms? - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) - [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Data Preparation Software](https://www.g2.com/categories/data-preparation) --- ## How Do You Choose the Right Analytics Platforms? ### What You Should Know About Analytics Platforms ### What are analytics software platforms? Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries.  Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends. ### What types of analytics tools and platforms exist? #### **All-in-one software** ##### **Self-service analytics platforms** Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery.  ##### **Embedded BI software** Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making. #### **Point solutions** ##### **Root cause analysis** Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it. ### What are the common features of analytics solutions? Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them: **Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources. **Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management. **Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights. **Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary.  Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices. [**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. **Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights. Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional) ### What are the benefits of using analytics platforms? **Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm). **Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data. **Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully. **Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods. **Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary. **Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders. ### **Who uses analytics tools?** Analytics platforms can have both internal and external users.  #### **Internal users** **Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams. **Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. **Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location. **Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools. **Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform.  #### **External users** **Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions.  Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting. **Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data. ### **What are the alternatives to analytics platforms?** Alternatives to analytics platforms can replace this type of software, either partially or completely: [**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this. [**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs.  [**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics. [**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  [**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data. [**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms.  However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities. ### **Software and services related to analytics platforms** Related solutions that can be used together with analytics platforms include: [**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal. [**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs.  When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes. ### Challenges with analytics platforms **Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting. **Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components. **Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards. **Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority. ### How to choose the best analytics tools #### Requirements Gathering (RFI/RFP) for Analytics Platforms If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform. The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful. #### Compare Analytics Platforms Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of analytics platforms **Choose a selection team** Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities. **Analyze the data** As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board. ### How much do analytics software platforms cost? As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure.  As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle. Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software. #### Return on Investment (ROI) Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool. ### Implementation of analytics software solutions **How are analytics software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively. **Who is responsible for analytics platform implementation?** Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management. ### Emerging trends related to analytics platforms **Increase data accessibility** Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results. With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources. **Shift from on-premises to cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated. **Conversational AI** Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data. **Machine learning** AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing. ### Analytics Platforms FAQs #### **Which analytics platforms have an intuitive UI that non-technical users adopt without extensive training?** I looked for analytics platforms that make it easy to find what you need also enable easy collaboration. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Has a drag-and-drop chart building without SQL or code that makes it user-friendly. Users can connect Excel, SharePoint, and emails without technical help.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can create dashboards with limited use and no deep technical background. Onboarding is as simple as sharing the links and giving the right access. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Spreadsheet-like UI provides the most distinctive non-technical adoption story. Users can pull in data and work with it in complicated ways that don't require coding. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer approach means business users interact with pre-defined, plain-language metrics rather than raw tables or SQL, which is the foundational mechanism for non-technical adoption.  #### **What are the best analytics platforms for business teams accessing insights without SQL or data science skills?** SQL-free access means business users can explore, filter, and create their own views without analyst dependency.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Non-technical users can build powerful dashboards quickly without SQL. Power BI's Power Query Editor handles data transformations through button clicks. The DAX layer exists for advanced users but is not required for standard self-service reporting. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Sigma's specific differentiator for SQL-free access is its spreadsheet-like interface on live warehouse data. For teams already on Snowflake or cloud warehouses, Sigma eliminates the SQL barrier entirely at the analysis layer. - [Domo](https://www.g2.com/products/domo/reviews) **:** The no-code platform is easy to use for non-technical teams. Users can apply filtering and date range changes without any coding. The 1000+ connector ecosystem means data arrives automatically, so business users interact with dashboards rather than queries.  - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic model defines metrics in plain language; business users query pre-built dimensions and measures without writing a single line of SQL.  #### **Which analytics platforms support collaborative dashboards, annotations, and mobile access for on-the-go insights?** I looked for tools with collaborative analytics, shared dashboards, in-platform discussion, annotations, and mobile-ready access. - [Domo](https://www.g2.com/products/domo/reviews) **:** Sales teams can access data and contacts in real-time on their phones. Has platform-native discussion, report sharing, and insight annotation as part of the daily workflow.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Web and mobile access are daily-use features. The platform enables collaboration so everyone can see the same report at the same time, updated in real time. - [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **:** Designed around collaborative BI with built-in story, annotation, and broadcast features for sharing insights with business audiences.  - [Looker](https://www.g2.com/products/looker/reviews) **:** Comes with scheduled report delivery, so automated weekly numbers land in inboxes without anyone manually running anything. Email reports and metric notifications can be set up as daily workflow features.  #### **Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration?** Fast ad-hoc exploration means users can drill down, pivot, and filter without waiting and without writing a new query every time. - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Users can drill down on data without writing queries. Extracted datasets perform significantly better for ad-hoc work. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer so ad-hoc queries against massive datasets return fast without full table scans.  - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Its direct data mapping approach eliminates the aggregation layer that slows most BI platforms during ad-hoc queries. For organizations where query latency on complex, multi-source datasets is the primary pain, Incorta is a good choice. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Provides intuitive filtering across countries, teams, and time periods within existing dashboards without analyst involvement. The Direct Lake connection mode specifically reduces ad-hoc query latency. #### **Which analytics solutions integrate with Snowflake, BigQuery, and Redshift seamlessly?** Native, live connections to modern data warehouses — where queries run in the warehouse rather than in the BI tool are what seamless integration actually means for data teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Integration with Active Directory, SharePoint, and the Microsoft Fabric ecosystem is described as genuinely seamless for organizations already in the Microsoft stack. - [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **:** Built to run directly on Snowflake (and BigQuery/Redshift) without extracting data. The architecture means live warehouse queries are the default mode, not an optional feature. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** It is the warehouse-layer itself for many organizations, not a BI tool connecting to a warehouse, which means integration is inherently native. For organizations that treat Databricks as the processing layer and BI tools as the visualization layer on top, Databricks' own analytics features (via SQL Warehouses and notebooks) eliminate the need for a separate integration layer. - [Looker](https://www.g2.com/products/looker/reviews) **:** BigQuery is the most-named data warehouse in Looker's review base. LookML's push-down SQL architecture means all queries run in the warehouse (Snowflake, BigQuery, Redshift) rather than being extracted into Looker. #### **Which analytics solutions come with robust caching and performance optimization to maintain fast speeds at scale?** Caching and performance optimization matter when datasets are large, dashboards are complex, and business users can't wait for queries to resolve. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** The semantic layer pre-aggregates at the warehouse layer specifically to make large dataset queries fast. For organizations where query latency on multi-billion row datasets is the blocking problem, Kyvos is the most purpose-built and best-validated option in the category on these dimensions. - [Databricks](https://www.g2.com/products/databricks/reviews) **:** Photon engine, Delta Lake caching, and auto-scaling compute architecture are the performance mechanisms at scale.  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Row Level Security, Premium capacity, and aggregation tables are the scale optimization toolkit. Performance at scale in Power BI is achievable but requires deliberate architecture, not automatic. - [Incorta](https://www.g2.com/products/incorta/reviews) **:** Direct data mapping eliminates the pre-aggregation step that creates scale bottlenecks in most BI tools, allowing ad-hoc queries against large transactional datasets to run without a separate aggregation cache.  #### **Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation?** I looked for analytics platforms with strong data governance features.  - [Looker](https://www.g2.com/products/looker/reviews) **:** LookML governance, real-time data access, and seamless integration with modern data warehouses together create the governed analytics environment enterprises need to prevent metric drift across teams. - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **:** Addresses governance through Row Level Security, workspace permissions, and certified datasets, which restrict what data individual users can see and prevent unauthorized metric redefinition. - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) **:** It defines metrics once at the semantic model level and enforces those definitions for every downstream query and dashboard.  - [Tableau](https://www.g2.com/products/tableau/reviews) **:** Governance approach is built around Tableau Server and Tableau Cloud — where published data sources become the certified metric layer that individual report builders consume rather than create.