# Best Analytics Platforms - Page 4 *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 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,669 reviews) | Flexible visual dashboard exploration | "[Turning Complex Data into Actionable Insights](https://www.g2.com/survey_responses/tableau-review-13075232)" | | 2 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,593 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)" | | 3 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,323 reviews) | Governed lakehouse analytics and ML workflows | "[Helpful for Managing and Analyzing Operational Data](https://www.g2.com/survey_responses/databricks-review-13090803)" | | 4 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (771 reviews) | Cloud analytics for governed data science | "[Effective Data Analysis with SAS Viya](https://www.g2.com/survey_responses/sas-viya-review-11872818)" | | 5 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (846 reviews) | No-code data preparation and automation | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" | | 6 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,025 reviews) | Centralized self-service business dashboards | "[Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard](https://www.g2.com/survey_responses/domo-review-13128007)" | | 7 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,589 reviews) | Governed shared BI metrics | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" | | 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 (402 reviews) | SQL and Python notebook analytics apps | "[All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards](https://www.g2.com/survey_responses/hex-review-13125920)" | | 10 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 reviews) | Warehouse-native spreadsheet-style analytics | "[Sigma unlocks data value for our organization](https://www.g2.com/survey_responses/sigma-review-10895340)" | --- ## 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=604&focus%5B%5D=5048&focus%5B%5D=27024) Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Domo, Looker, 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=domo&focus%5B%5D=looker&focus%5B%5D=kyvos-semantic-layer) ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 361 ### 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**: Aible (+6.67%) - Among all products in this category, Aible recorded the largest rating increase compared to last month *Last updated: July 21, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,700+ Authentic Reviews - 361+ 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:** [Tableau](https://www.g2.com/products/tableau/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** ### Lightdash Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations. [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=2026-07-22T13%3A48%3A50Z&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=1215392&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=llm_category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms&secure%5Btoken%5D=8db0a4496be4f24d604bb77667b0922347c9a85682a9fe01f6455378a3edb293&secure%5Burl%5D=https%3A%2F%2Fwww.lightdash.com%2F&secure%5Burl_type%5D=company_website) --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [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: 9.1/10) - **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 simple and powerful for data access. - Users value the **automation of reports** , finding it easy to use and efficient for sharing insights. - Users praise the **ease of understanding** of Apache Superset, making it simple to use for everyone. - Users find Apache Superset to offer **easy access** to data, balancing simplicity with powerful functionality. - Users love the **speed** of Apache Superset, finding it easy and powerful for quick data access. **Cons:** - Users report experiencing **slow performance** with Apache Superset, as queries sometimes hang during execution. - Users experience **SQL execution issues** with Apache Superset, as queries can hang and cause frustration. - Users find that the **visualization lacks interactivity** , which hampers their overall experience with 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 ### 2. [panintelligence](https://www.g2.com/products/panintelligence/reviews) Expand ARR and accelerate your product roadmap with secure, Generative Business Intelligence (GenBI). At Panintelligence, we bring over 10 years of expertise in helping 400+ global customers unlock deeper insights, reduce technical debt, and drive data-driven growth. Our platform seamlessly integrates with your existing data infrastructure, providing your users with an intuitive, immersive experience. Low Code for Developers: We minimize development effort, allowing your team to focus on innovation and accelerate your roadmap. No Code for Users: We empower users to explore data independently, leveraging Generative BI to surface insights without technical expertise. By embedding Panintelligence, you enable self-service analytics while future-proofing your platform. Our partnership-driven approach ensures your business stays ahead with secure, scalable, and cutting-edge GenBI. Unlock the full potential of your data with Panintelligence – the Generative BI leader for organizations worldwide. **Average Rating:** 4.4/5.0 **Total Reviews:** 50 **How Do G2 Users Rate panintelligence?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind panintelligence?** - **Seller:** [Panintelligence](https://www.g2.com/sellers/panintelligence) - **Company Website:** https://www.panintelligence.com/ - **Year Founded:** 2014 - **HQ Location:** Leeds - **Twitter:** @panintelligence (2,056 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/panintelligence/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 42% Mid-Market, 39% Small-Business #### What Are panintelligence's Pros and Cons? **Pros:** - Customer Support (7 reviews) - Ease of Use (4 reviews) - Charting Features (3 reviews) - Dashboard Customization (3 reviews) - Flexibility (3 reviews) **Cons:** - Limited Chart Functionality (3 reviews) - Limited Customization (3 reviews) - Initial Difficulty (2 reviews) - Learning Curve (2 reviews) - Learning Difficulty (2 reviews) ### What Do G2 Reviewers Say About panintelligence? *AI-generated summary from verified user reviews* **Pros:** - Users value the **outstanding customer support** from Panintelligence, fostering a genuine partnership in their data journey. - Users appreciate the **ease of use** of Panintelligence, enabling quick insights and efficient data-driven decision-making. - Users value the **flexibility in customizing charts and dashboards** , enhancing relevance for different departments and clients. - Users appreciate the **flexibility of dashboard customization** in Panintelligence, tailoring visuals to meet diverse needs and preferences. - Users value the **flexibility** of Panintelligence for customizing dashboards and adapting to diverse organizational needs. **Cons:** - Users find the **limited chart functionality** frustrating, making advanced visualizations time-consuming and challenging to configure. - Users express dissatisfaction with the **limited customization** options in Panintelligence, affecting user experience and chart styles. - Users find the **initial difficulty** with chart creation and configuration frustrating and time-consuming, affecting user experience. - Users find the **learning curve challenging** , noting the frustration in mastering advanced visualizations and configurations. - Users find that the **learning difficulty** of Panintelligence complicates setup and understanding of charts and modules. #### What Are Recent G2 Reviews of panintelligence? **"[The Panintelligence team are incredibly helpful, easy to work with, and always quick to respond.](https://www.g2.com/survey_responses/panintelligence-review-11387943)"** **Rating:** 4.0/5.0 stars *— Stewart B.* [Read full review](https://www.g2.com/survey_responses/panintelligence-review-11387943) --- **"[User-Friendly BI Platform with Excellent Support and Seamless Integration](https://www.g2.com/survey_responses/panintelligence-review-12088298)"** **Rating:** 4.0/5.0 stars *— Verified User in Electrical/Electronic Manufacturing* [Read full review](https://www.g2.com/survey_responses/panintelligence-review-12088298) --- #### What Are G2 Users Discussing About panintelligence? - [What is panintelligence used for?](https://www.g2.com/discussions/what-is-panintelligence-used-for) ### 3. [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: 9.1/10) - **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 enjoy the **ease of use** of Databox, finding it simple to implement and integrate with various tools. - Users appreciate the **seamless integrations** of Databox, facilitating easy access to crucial business metrics in one place. - Users appreciate the **easy integrations** of Databox, simplifying access to critical business metrics across multiple platforms. - Users praise Databox for its **world-class customer support** , enhancing their experience with the product significantly. - Users value the **impressive AI summary feature** of Databox, enhancing the insightfulness and timeliness of reports. **Cons:** - Users find that Databox has **connection issues** as it lacks integrations for specific industries, limiting its usability. - Users find **connectivity issues** as Databox lacks certain industry-specific connections, impacting its overall functionality. - Users find the pricing of Databox **excessively high** , with misleading charges leading to frustration and lost trust. - Users find the **expensive pricing** and deceptive billing practices of Databox frustrating and damaging to customer trust. - Users find the **learning curve steep** initially, which may hinder quick adaptation to Databox's features. #### 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) --- ### 4. [Whaly](https://www.g2.com/products/whaly-whaly/reviews) We believe that analytics should benefit everyone. Whaly is an integrated, self-service business intelligence platform that enables data teams and business teams to work better together. Business teams are empowered to access, analyze, and share data from the tools they already use every day - HubSpot, Salesforce, Google Analytics, and more - with no technical expertise required. This means no more waiting on data teams for answers to every question. In parallel, data teams get some time back to focus on fewer menial tasks. With Whaly, you can connect, model, visualize and share your data - all from one place. Our mission is to boost adoption and foster company-wide trust in data, so that your company can make better, more informed decisions. Time to make your data work harder for you - not the other way around. **Average Rating:** 4.8/5.0 **Total Reviews:** 25 **How Do G2 Users Rate Whaly?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Whaly?** - **Seller:** [Whaly](https://www.g2.com/sellers/whaly) - **Year Founded:** 2020 - **HQ Location:** Paris, FR - **Twitter:** @WhalyHQ (56 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/whalyhq/ (13 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 44% Mid-Market, 40% Small-Business #### What Are Recent G2 Reviews of Whaly? **"[Great tool of self-service business intelligence and data visualization platform](https://www.g2.com/survey_responses/whaly-review-8030954)"** **Rating:** 4.5/5.0 stars *— Bastien E.* [Read full review](https://www.g2.com/survey_responses/whaly-review-8030954) --- **"[Superb BI tool that adapts to the needs of each business unit !](https://www.g2.com/survey_responses/whaly-review-8209599)"** **Rating:** 5.0/5.0 stars *— Simon M.* [Read full review](https://www.g2.com/survey_responses/whaly-review-8209599) --- ### 5. [ClearQuery](https://www.g2.com/products/clearquery/reviews) ClearQuery is a full suite data analytics platform designed with one primary goal in mind- to make analytics simple for everyone. ClearQuery removes the technical barriers by giving every user the ability to get automated insights at ingestion. With dashboards and insights canvas, you are able to understand your data at a glance, easily explore relationships across datasets, ask questions in plain English and get answers without needing to know any query language. ClearQuery is a data analytics solution for humans. **Average Rating:** 4.3/5.0 **Total Reviews:** 12 **How Do G2 Users Rate ClearQuery?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind ClearQuery?** - **Seller:** [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc) - **Year Founded:** 2012 - **HQ Location:** 135 Constitution Drive, Menlo Park CA - **Twitter:** @SnowflakeDB (278 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/snowflake-computing/ (11,308 employees on LinkedIn®) - **Ownership:** NYSE:SNOW **Who Uses This Product?** - **Company Size:** 42% Enterprise, 33% Mid-Market #### What Are ClearQuery's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Customization (2 reviews) - Data Integration (2 reviews) - Ease of Learning (2 reviews) - Ease of Understanding (2 reviews) **Cons:** - Bugs (2 reviews) - Access Control (1 reviews) - Coding Difficulty (1 reviews) - Complex Usage (1 reviews) - Expensive (1 reviews) ### What Do G2 Reviewers Say About ClearQuery? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of ClearQuery, allowing non-technical users to engage with data effortlessly. - Users love the **customization options** of ClearQuery, allowing them to tailor the tool to their specific preferences. - Users value the **seamless data integration** of ClearQuery, enabling quick and easy access to various data sources. - Users value the **ease of learning** with ClearQuery, enabling anyone to analyze data effortlessly and effectively. - Users love the **ease of understanding** with ClearQuery, as it simplifies complex data analysis for everyone. **Cons:** - Users experience **bugs** that complicate usage and integration, leading to a challenging experience with ClearQuery. - Users find the **initial setup complex** , which can hinder their overall experience with ClearQuery. - Users find that a **strong SQL knowledge** is necessary for writing complex queries effectively in ClearQuery. - Users find the **complex usage** of ClearQuery challenging, especially when integrating with data and search engines. - Users find ClearQuery to be **expensive compared to similar software** , making it a consideration for budget-conscious teams. #### What Are Recent G2 Reviews of ClearQuery? **"[ClearQuery: Simplifying Data Analysis and Business Intelligence with Powerful Tools](https://www.g2.com/survey_responses/clearquery-review-10386038)"** **Rating:** 4.0/5.0 stars *— vishal p.* [Read full review](https://www.g2.com/survey_responses/clearquery-review-10386038) --- **"[One Stop Solution for all queries](https://www.g2.com/survey_responses/clearquery-review-10446971)"** **Rating:** 5.0/5.0 stars *— Anandhu C.* [Read full review](https://www.g2.com/survey_responses/clearquery-review-10446971) --- ### 6. [SAP BusinessObjects Business Intelligence (BI)](https://www.g2.com/products/sap-businessobjects-business-intelligence-bi/reviews) The SAP® BusinessObjects™ Business Intelligence (BI) platform is a flexible, scalable information infrastructure that helps you more easily discover and share insights for better business decisions. The integrated, unified infrastructure enables scalability from one to many tools and interfaces on premise, in the cloud, or as a hybrid approach. **Average Rating:** 3.8/5.0 **Total Reviews:** 236 **How Do G2 Users Rate SAP BusinessObjects Business Intelligence (BI)?** - **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.1/10 (Category avg: 8.4/10) - **Reports Interface:** 7.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind SAP BusinessObjects Business Intelligence (BI)?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) - **Ownership:** NYSE:SAP **Who Uses This Product?** - **Who Uses This:** Account Manager - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 66% Enterprise, 28% Mid-Market #### What Are SAP BusinessObjects Business Intelligence (BI)'s Pros and Cons? **Pros:** - Charting Features (1 reviews) - Data Visualization (1 reviews) - Ease of Understanding (1 reviews) - Integrations (1 reviews) - Team Collaboration (1 reviews) ### What Do G2 Reviewers Say About SAP BusinessObjects Business Intelligence (BI)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **flexible charting features** of SAP BI, creating impressive visuals and comprehensive dashboards effortlessly. - Users appreciate the **data visualization capabilities** of SAP BusinessObjects BI, enhancing insights and presentations for leadership effectively. - Users value the **ease of understanding** in SAP BI, enabling quick visualizations and effective data presentations for leadership. - Users appreciate the **integration capabilities** of SAP BI, enabling enhanced visuals and dashboards for data analysis. - Users value the **team collaboration features** of SAP BI, enhancing data visualization and dashboard creation for better insights. #### What Are Recent G2 Reviews of SAP BusinessObjects Business Intelligence (BI)? **"[Data Analytics Platform Enhanced](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981)"** **Rating:** 5.0/5.0 stars *— Meghan I.* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981) --- **"[Great for Financial Analysis](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662)"** **Rating:** 5.0/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662) --- #### What Are G2 Users Discussing About SAP BusinessObjects Business Intelligence (BI)? - [What is SAP BusinessObjects Business Intelligence (BI) used for?](https://www.g2.com/discussions/what-is-sap-businessobjects-business-intelligence-bi-used-for) - [What are the tools used in business intelligence?](https://www.g2.com/discussions/what-are-the-tools-used-in-business-intelligence) - [What is SAP Business Objects used for?](https://www.g2.com/discussions/what-is-sap-business-objects-used-for) - [What is SAP Business Intelligence?](https://www.g2.com/discussions/what-is-sap-business-intelligence) - [What is BusinessObjects business intelligence platform?](https://www.g2.com/discussions/what-is-businessobjects-business-intelligence-platform) ### 7. [CorralData](https://www.g2.com/products/corraldata/reviews) CorralData is an AI-powered analytics platform that transforms how organizations interact with their data, offering businesses instant, actionable insights without requiring technical expertise. Designed with ease of use and speed in mind, CorralData helps businesses quickly centralize and analyze data from over 500 built-in integrations. This vast connectivity allows organizations to unify their data seamlessly, making it accessible and actionable from one central platform. Key Features and Functionality: CorralData is built for non-technical users, enabling them to explore data through natural language queries and generate AI-driven reports effortlessly. The platform includes features like real-time dashboards, customizable reporting, and secure collaboration tools that empower teams to work with data collaboratively and make informed decisions faster. With CorralData, users can simply ask questions in plain English, and the platform instantly translates these queries into data insights, democratizing data access across the organization. Primary Value and Solution: CorralData solves a core challenge for many businesses: transforming complex, siloed data into accessible insights quickly, without the need for lengthy onboarding or engineering support. Traditional BI tools often require specialized teams and long lead times to implement, but CorralData’s intuitive design and instant integration capabilities eliminate these barriers. The platform’s HIPAA-compliant security measures also ensure that data is protected, making it a trusted choice for industries like healthcare and finance. CorralData’s primary value lies in its ability to make data-driven decision-making fast, accessible, and impactful. By equipping business users with immediate insights and robust analytical tools, CorralData enables companies to respond to market changes in real time, optimize operations, and drive growth, all while reducing dependency on technical resources. For businesses aiming to become data-driven overnight, CorralData is an ideal solution. **Average Rating:** 4.9/5.0 **Total Reviews:** 19 **How Do G2 Users Rate CorralData?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 9.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind CorralData?** - **Seller:** [Corraldata](https://www.g2.com/sellers/corraldata) - **Year Founded:** 2021 - **HQ Location:** New York, NY - **Twitter:** @CorralData (6 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/43342864 (29 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Mid-Market, 47% Small-Business #### What Are CorralData's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Customer Support (5 reviews) - Implementation Ease (3 reviews) - Integrations (3 reviews) - Time-Saving (3 reviews) **Cons:** - Complexity (2 reviews) - Data Inaccuracy (1 reviews) - Expensive (1 reviews) - Filtering Problems (1 reviews) - Implementation Challenges (1 reviews) ### What Do G2 Reviewers Say About CorralData? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of CorralData, enjoying seamless integration and straightforward access to comprehensive metrics. - Users commend the **exceptional customer support** of CorralData, highlighting responsiveness and quick solutions throughout the onboarding process. - Users commend the **ease of implementation** with CorralData, praising the rapid setup and support throughout the process. - Users praise the **seamless integration capabilities** of CorralData, streamlining multiple systems into one efficient platform. - Users find CorralData to be a **time-saving solution** , seamlessly integrating multiple systems into one unified platform. **Cons:** - Users find the **complexity of data validation** in CorralData to be time-consuming and challenging during integration. - Users find **data inaccuracy** challenging as validating and checking data correctness is time-consuming and difficult. - Users find CorralData to be **expensive** compared to other tools, even if it offers considerable value. - Users find **filtering problems** time-consuming, making it hard to validate data accuracy after widget creation. - Users face **long integration times** due to complexities with Zenoti, leading to a challenging implementation experience. #### What Are Recent G2 Reviews of CorralData? **"[Great BI Tool for integrating with Zenoti](https://www.g2.com/survey_responses/corraldata-review-12263612)"** **Rating:** 5.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/corraldata-review-12263612) --- **"[Exceptional Support and Effortless Onboarding Experience](https://www.g2.com/survey_responses/corraldata-review-11982093)"** **Rating:** 5.0/5.0 stars *— Verified User in Real Estate* [Read full review](https://www.g2.com/survey_responses/corraldata-review-11982093) --- ### 8. [Grow.com](https://www.g2.com/products/grow-com/reviews) Grow is a no-code full-stack business intelligence (BI) platform that empowers everyone in your organization to make data-driven decisions. By combining ETL, data warehousing and visualization in one easy-to-use platform, any organization can connect and explore its data to surface insights. Our unlimited-user license model gives everyone access to the answers they need without waiting in line for an analyst. Now everyone can make great decisions in real-time to accelerate their growth. **Average Rating:** 4.3/5.0 **Total Reviews:** 274 **How Do G2 Users Rate Grow.com?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Grow.com?** - **Seller:** [Epicor](https://www.g2.com/sellers/epicor) - **Company Website:** https://www.epicor.com - **Year Founded:** 1972 - **HQ Location:** Austin, TX - **Twitter:** @Epicor (9,286 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/4617/ (6,179 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Account Manager - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 64% Small-Business, 34% Mid-Market #### What Are Grow.com's Pros and Cons? **Pros:** - Ease of Use (29 reviews) - Data Visualization (15 reviews) - Easy Integrations (15 reviews) - User Interface (15 reviews) - Integrations (13 reviews) **Cons:** - Expensive (8 reviews) - Missing Features (8 reviews) - Slow Loading (8 reviews) - Slow Performance (8 reviews) - Performance Issues (7 reviews) ### What Do G2 Reviewers Say About Grow.com? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Grow.com, enabling quick data access and effortless dashboard creation for all teams. - Users appreciate the **easy data visualization** in Grow.com, enabling quick insights without navigating multiple tools. - Users appreciate the **easy integrations** of Grow.com, seamlessly connecting data sources for quick insights and reports. - Users appreciate the **user-friendly interface** of Grow.com, making performance tracking and reporting easily accessible. - Users love the **seamless integrations** of Grow.com, enabling easy data collection from various sources for effective reporting. **Cons:** - Users find Grow.com **expensive** , making it challenging for small firms and affecting overall accessibility. - Users face **missing features** , such as inadequate visualization and performance issues, impacting usability and flexibility. - Users find that the **slow loading** of data sources can hinder their overall experience with Grow.com. - Users often face **slow performance** with Grow.com, especially during data syncing and refreshing processes, impacting analysis accuracy. - Users experience **performance issues** due to large datasets, resulting in timeouts and a sluggish dashboard. #### What Are Recent G2 Reviews of Grow.com? **"[Senior Accounting Specialist](https://www.g2.com/survey_responses/grow-com-review-11487448)"** **Rating:** 5.0/5.0 stars *— Verified User in Accounting* [Read full review](https://www.g2.com/survey_responses/grow-com-review-11487448) --- **"[Easy to use for most users](https://www.g2.com/survey_responses/grow-com-review-12953865)"** **Rating:** 4.5/5.0 stars *— Verified User in Mechanical or Industrial Engineering* [Read full review](https://www.g2.com/survey_responses/grow-com-review-12953865) --- #### What Are G2 Users Discussing About Grow.com? - [What is Grow.com used for?](https://www.g2.com/discussions/what-is-grow-com-used-for) ### 9. [HockeyStack](https://www.g2.com/products/hockeystack/reviews) HockeyStack connects every data source across your go-to-market motion and turns scattered marketing and sales data into clear answers about what drives revenue, and the actions to double down on it. Key capabilities include: Odin (AI Analyst): Ask questions in plain English and get instant analysis, the reasoning behind the numbers, and recommended next steps, plus automated insights on your key metrics with no dashboards to build. Attribution Reporting: Out-of-the-box dashboard templates from day one, then custom no-code reports across 9 attribution models, showing the campaigns and channels driving pipeline from first impression to closed-won. Lift Reporting: Measure the true incremental impact of every campaign, so you know what actually caused revenue rather than what just appeared in the journey. Buyer Journeys: See every interaction in one time-stamped view from first touch to close, powered by cookieless tracking that captures the full journey. Account Intelligence & ABM/ABX: Identify anonymous visitors, build target lists with first- and third-party intent, run ads, and sync it all to your CRM, backed by best-in-class account and lead scoring. Achieve defensible attribution, more efficient growth, and confident budget decisions, without code or an analyst queue. Get started with HockeyStack today! **Average Rating:** 4.5/5.0 **Total Reviews:** 80 **How Do G2 Users Rate HockeyStack?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind HockeyStack?** - **Seller:** [HockeyStack](https://www.g2.com/sellers/hockeystack) - **Company Website:** https://www.hockeystack.com - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/hockeystack/ (98 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 61% Mid-Market, 34% Small-Business #### What Are HockeyStack's Pros and Cons? **Pros:** - Insights (35 reviews) - Analytics (30 reviews) - Ease of Use (27 reviews) - Helpful (26 reviews) - Customer Support (24 reviews) **Cons:** - Learning Curve (24 reviews) - Steep Learning Curve (20 reviews) - Complexity (14 reviews) - Difficult Learning (11 reviews) - Learning Difficulty (8 reviews) ### What Do G2 Reviewers Say About HockeyStack? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **flexible and detailed insights** from HockeyStack, enhancing their understanding of campaign performance and ROI. - Users love the **flexible and detailed analytics** from HockeyStack, providing tailored insights for effective marketing strategies. - Users appreciate the **ease of use** of HockeyStack, enabling seamless setup and integration for better analytics. - Users praise the **exceptional support** from HockeyStack, noting timely and thorough assistance for all inquiries. - Users praise the **unprecedented customer support** from HockeyStack, valuing timely, thorough responses to all inquiries. **Cons:** - Users find the **learning curve challenging** , particularly for newcomers unfamiliar with attribution tools, despite helpful support. - Users note a **steep learning curve** with HockeyStack, but support and resources help ease the process. - Users find HockeyStack's **complexity** can present a learning curve, but support helps ease the process. - Users struggle with a **difficult learning curve** , requiring significant time and effort to master HockeyStack's features effectively. - Users note a **steep learning curve** with HockeyStack, requiring time and exploration to fully understand its versatility. #### What Are Recent G2 Reviews of HockeyStack? **"[Broad Capabilities, Some Complexity in Setup](https://www.g2.com/survey_responses/hockeystack-review-12701250)"** **Rating:** 4.0/5.0 stars *— Carmine M.* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12701250) --- **"[Promising Tool, Some Drawbacks](https://www.g2.com/survey_responses/hockeystack-review-12260402)"** **Rating:** 4.0/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12260402) --- #### What Are G2 Users Discussing About HockeyStack? - [What is HockeyStack used for?](https://www.g2.com/discussions/what-is-hockeystack-used-for) ### 10. [StarBI](https://www.g2.com/products/starbi/reviews) StarBI is a self service business intelligence software designed to allow users to discover trends, track KPIs and visualize data. **Average Rating:** 4.1/5.0 **Total Reviews:** 13 **How Do G2 Users Rate StarBI?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.0/10 (Category avg: 8.5/10) **Who Is the Company Behind StarBI?** - **Seller:** [Starcom Information Technology Limited](https://www.g2.com/sellers/starcom-information-technology-limited) - **Year Founded:** 1995 - **HQ Location:** Bangalore, Karnataka - **Twitter:** @starcominfotech (286 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/starcom-information-technology-ltd (44 employees on LinkedIn®) - **Ownership:** BSE: 531616 **Who Uses This Product?** - **Company Size:** 44% Small-Business, 38% Enterprise #### What Are StarBI's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Business Value (2 reviews) - Customization (2 reviews) - Data Visualization (2 reviews) - Powerful BI (2 reviews) **Cons:** - Complexity (2 reviews) - Slow Performance (2 reviews) - Complex Procedures (1 reviews) - Integration Issues (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About StarBI? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of StarBI, appreciating its smooth interface and customizable features for efficiency. - Users value the **affordable tailored solutions** of StarBI, appreciating its ability to simplify analytics tasks effectively. - Users commend the **customizable reports** of StarBI, which enhance efficiency and facilitate real-time data-driven decisions. - Users value the **ease of data integration and customizable dashboards** of StarBI, enhancing efficiency and insight clarity. - Users value the **powerful BI capabilities** of StarBI, enhancing efficiency in analytics and dashboard performance. **Cons:** - Users find the **complexity of StarBI** to hinder usability, with issues like website lag and inflexible ETL processes. - Users often experience **slow performance** with StarBI, especially when dealing with large datasets or heavy data sources. - Users find the **complex ETL processes** in StarBI limit flexibility and complicate their data handling experience. - Users experience **integration issues** with niche systems in StarBI, leading to challenges in data handling and performance. - Users find the **learning curve challenging** with StarBI, requiring significant time for customization and adaptation. #### What Are Recent G2 Reviews of StarBI? **"[track KPIs, and visualize data by connecting to multiple data sources.](https://www.g2.com/survey_responses/starbi-review-10498028)"** **Rating:** 5.0/5.0 stars *— Aiswarya I.* [Read full review](https://www.g2.com/survey_responses/starbi-review-10498028) --- **"[Intuitive and Powerful Data Insights with StarBI](https://www.g2.com/survey_responses/starbi-review-10429311)"** **Rating:** 5.0/5.0 stars *— Saad A. S.* [Read full review](https://www.g2.com/survey_responses/starbi-review-10429311) --- #### What Are G2 Users Discussing About StarBI? - [What is StarBI used for?](https://www.g2.com/discussions/what-is-starbi-used-for) - 1 comment ### 11. [Autonmis](https://www.g2.com/products/autonmis/reviews) 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 - 𝗔𝗜 𝘁𝗼 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗽𝘀 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 Operations run the business. Yet most teams still rely on spreadsheets, siloed systems, and delayed reports to track issues - creating blind spots across workflows, compliance, and outcomes. 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 𝗳𝗶𝗹𝗹𝘀 𝘁𝗵𝗮𝘁 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗹𝗮𝘆𝗲𝗿: 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝗽𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. We plug into your existing tools and workflows, learn what “healthy operations” look like, and help your team detect, diagnose, and de-risk problems in real time: 𝗗𝗲𝘁𝗲𝗰𝘁: Stuck files, delays, mismatches, and broken workflows as they happen. 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝗲: Root causes across systems, not just surface-level tickets. 𝗗𝗲-𝗿𝗶𝘀𝗸: Early signals on operational, regulatory, customer, or revenue impact. Autonmis doesn’t replace your tools - it connects and illuminates them, giving your team clear visibility, audit-ready insights, and the freedom to focus on impact, not firefighting. For teams of any size managing critical operations, 𝗔𝘂𝘁𝗼𝗻𝗺𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗲𝗵𝗶𝗻𝗱 𝘀𝗺𝗼𝗼𝘁𝗵𝗲𝗿, 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 - 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀. **Average Rating:** 4.6/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Autonmis?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.1/10) - **Steps to Answer:** 9.2/10 (Category avg: 8.4/10) - **Reports Interface:** 9.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Autonmis?** - **Seller:** [Autonmis](https://www.g2.com/sellers/autonmis) - **Year Founded:** 2024 - **HQ Location:** Bangalore, IN - **Twitter:** @helloautonmis (7 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/autonmis/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 76% Small-Business, 24% Mid-Market #### What Are Autonmis's Pros and Cons? **Pros:** - Efficiency (6 reviews) - Ease of Use (5 reviews) - Time-saving (5 reviews) - Easy Integrations (4 reviews) - AI Integration (3 reviews) **Cons:** - Poor Visualization (4 reviews) - Missing Features (3 reviews) - Limited Chart Functionality (2 reviews) - Limited Customization (2 reviews) - Dependency Issues (1 reviews) ### What Do G2 Reviewers Say About Autonmis? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **efficiency** of Autonmis' ETL pipelines, significantly streamlining data processes and enhancing productivity. - Users appreciate the **ease of use** of Autonmis, simplifying workflows and enabling smooth data transitions effortlessly. - Users appreciate how Autonmis offers **time-saving capabilities** by streamlining data workflows and reducing manual efforts significantly. - Users value the **easy integrations** of Autonmis, enhancing collaboration and streamlining data analysis workflows efficiently. - Users value the **AI-powered query optimization** , significantly improving efficiency and productivity across their analytics tasks. **Cons:** - Users find the **poor visualization** options limiting, hindering effective data representation and customization in Autonmis. - Users note the **missing features** in Autonmis, particularly in advanced analytics and customization for workflows. - Users note the **limited chart functionality** , suggesting enhancements for a more intuitive and user-friendly visualization experience. - Users find the **limited customization** of Autonmis restricts their ability to tailor workflows effectively. - Users face **dependency issues** with Autonmis, finding chart creation and dashboard building less intuitive than desired. #### What Are Recent G2 Reviews of Autonmis? **"[All-in-one data workflow platform that actually saves time](https://www.g2.com/survey_responses/autonmis-review-12576096)"** **Rating:** 4.5/5.0 stars *— Sujal K.* [Read full review](https://www.g2.com/survey_responses/autonmis-review-12576096) --- **"[All-in-One Platform That Streamlines Analytics with AI](https://www.g2.com/survey_responses/autonmis-review-12688510)"** **Rating:** 4.5/5.0 stars *— Ansh S.* [Read full review](https://www.g2.com/survey_responses/autonmis-review-12688510) --- ### 12. [Clootrack](https://www.g2.com/products/clootrack/reviews) Clootrack is an AI Super Agent that turns Voice of the Customer data into measurable business outcomes. It enables CX, product, consumer insights, marketing, and strategy teams to move from fragmented customer signals to clear, evidence-backed decisions. As survey response rates decline and feedback spreads across channels, Clootrack unifies first-party and third-party customer data into a single system. The platform analyzes 100% of customer interactions, including reviews, surveys, contact-center conversations, chat, and digital feedback, without relying on surveys alone. This delivers a complete and unbiased view of customer experience across journeys. Clootrack’s patented unsupervised thematic analysis surfaces hidden themes and experience drivers at scale without manual tagging. Goal-specific AI agents align insights directly to business KPIs to operationalize insights across outcomes such as NPS, churn, returns, product innovation speed, research efficiency, and contact-center performance. A reasoning layer explains what changed, why it changed, and where teams should act, with evidence. AI Decision Digest summarizes what matters, why it happened, and what to do next, with full traceability to source data. Organizations using Clootrack have reported: - 14–18% improvement in NPS - 9–18% reduction in e-commerce returns - Up to 35% reduction in churn - 3× faster product insights - 14× faster research execution - 10–15% reduction in contact-center AHT Clootrack delivers 98%+ analysis accuracy, supports 55+ languages, integrates with 1,000+ enterprise data sources, and is trusted by 150+ global enterprises across retail, SaaS, banking, healthcare, consulting, and private equity. The platform has processed 100+ billion customer feedback tokens using OpenAI infrastructure for real-world Voice of the Customer workloads. **Average Rating:** 4.6/5.0 **Total Reviews:** 38 **How Do G2 Users Rate Clootrack?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 6.9/10 (Category avg: 8.4/10) - **Reports Interface:** 6.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 5.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Clootrack?** - **Seller:** [Clootrack](https://www.g2.com/sellers/clootrack) - **Year Founded:** 2017 - **HQ Location:** Claymont, Delaware - **Twitter:** @clootrack (1,362 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/13342066/ (84 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Automotive, Management Consulting - **Company Size:** 50% Enterprise, 30% Small-Business #### What Are Clootrack's Pros and Cons? **Pros:** - Insights (4 reviews) - Data Analysis (3 reviews) - Efficiency (3 reviews) - Helpful (3 reviews) - Insights Analysis (3 reviews) **Cons:** - Dashboard Issues (2 reviews) - Delay Issues (2 reviews) - UX Improvement (2 reviews) - AI Inaccuracy (1 reviews) - AI Limitations (1 reviews) ### What Do G2 Reviewers Say About Clootrack? *AI-generated summary from verified user reviews* **Pros:** - Users commend Clootrack for its **advanced analytics capabilities** , transforming data into meaningful insights and trends. - Users value Clootrack's **flexible data analysis** , enabling custom insights and enhanced understanding of customer sentiment. - Users praise Clootrack for its **efficiency** in providing accurate insights that enhance decision-making processes. - Users appreciate the **helpful support team** at Clootrack, consistently eager to assist and provide customized solutions. - Users highlight the **flexible insights analysis** of Clootrack, enhancing data collations and improving reporting quality significantly. **Cons:** - Users find **dashboard readability issues** due to excessive detail, complicating their ability to meet tight deadlines. - Users experience significant **delay issues** with Clootrack, impacting timely insights and potential problem resolution. - Users note that some **visualization dashboards lack clarity** and suggest improvements for better customization and data export. - Users note the need for **improved AI tools** as current insights can be inaccurate for effective analysis. - Users note potential improvements in **AI tools for insights** , seeking better customization and export options for data analysis. #### What Are Recent G2 Reviews of Clootrack? **"[Great software and a great team](https://www.g2.com/survey_responses/clootrack-review-10363573)"** **Rating:** 4.5/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/clootrack-review-10363573) --- **"[Vital insight on customer behaviour and preferences useful for any brand or category](https://www.g2.com/survey_responses/clootrack-review-10642395)"** **Rating:** 4.5/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/clootrack-review-10642395) --- #### What Are G2 Users Discussing About Clootrack? - [What is Clootrack used for?](https://www.g2.com/discussions/what-is-clootrack-used-for) ### 13. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility. **Average Rating:** 4.2/5.0 **Total Reviews:** 328 **How Do G2 Users Rate Spotfire Analytics?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Spotfire Analytics?** - **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/spotfire/ (103 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Manager - **Top Industries:** Oil & Energy, Information Technology and Services - **Company Size:** 52% Enterprise, 26% Mid-Market #### What Are Spotfire Analytics's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Data Visualization (14 reviews) - Insights (11 reviews) - Easy Integrations (10 reviews) - Features (10 reviews) **Cons:** - Learning Curve (8 reviews) - Learning Difficulty (6 reviews) - Expensive (5 reviews) - Steep Learning Curve (4 reviews) - Complexity (3 reviews) ### What Do G2 Reviewers Say About Spotfire Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users find Spotfire's **ease of use** exceptional, enabling quick data visualization even for complex datasets. - Users appreciate the **powerful and flexible data visualization capabilities** of Spotfire Analytics, making complex data exploration effortless. - Users praise **Spotfire Analytics for transforming complex data into user-friendly interactive visualizations** , making analysis accessible to all team members. - Users praise the **easy integrations** of Spotfire Analytics, seamlessly connecting diverse data sources for powerful analysis. - Users love Spotfire Analytics for its **seamless integration and powerful visualization features** , enhancing decision-making and saving valuable time. **Cons:** - Users find the **learning curve steep** for Spotfire Analytics, particularly with advanced features and data modeling skills. - Users find **learning difficult** due to the overwhelming number of functions and complex features in Spotfire Analytics. - Users find Spotfire Analytics to be **relatively expensive** compared to competitors, with high licensing and maintenance costs. - Users find the **steep learning curve** of Spotfire Analytics challenging, especially regarding advanced features and user interface. - Users often find the **complexity of Spotfire Analytics** overwhelming initially, especially those new to data modeling or scripting. #### What Are Recent G2 Reviews of Spotfire Analytics? **"[A Comprehensive Analytics Platform for Deep, Real-Time Data Insights](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)"** **Rating:** 5.0/5.0 stars *— Manan B.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634) --- **"[Where data science becomes visual—and actually useful!](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)"** **Rating:** 5.0/5.0 stars *— Leandro A.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595) --- #### What Are G2 Users Discussing About Spotfire Analytics? - [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment - [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for) - [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments - [What is most like Tibco Spotfire?](https://www.g2.com/discussions/what-is-most-like-tibco-spotfire) - 1 comment - [What's New In Tibco Spotfire?](https://www.g2.com/discussions/what-s-new-in-tibco-spotfire) - 1 comment ### 14. [Logility Solutions](https://www.g2.com/products/logility-solutions/reviews) Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth. **Average Rating:** 4.2/5.0 **Total Reviews:** 125 **How Do G2 Users Rate Logility Solutions?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Logility Solutions?** - **Seller:** [Aptean](https://www.g2.com/sellers/aptean) - **Company Website:** https://www.aptean.com - **Year Founded:** 2012 - **HQ Location:** Alpharetta, Georgia - **Twitter:** @Aptean (1,620 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2681769/ (3,045 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Goods, Food & Beverages - **Company Size:** 53% Mid-Market, 31% Enterprise #### What Are Recent G2 Reviews of Logility Solutions? **"[Powerful Forecasting, Clunky Interface](https://www.g2.com/survey_responses/logility-solutions-review-13121635)"** **Rating:** 4.0/5.0 stars *— Vimal G.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-13121635) --- **"[Streamlined Supply Chain with Robust Forecasting](https://www.g2.com/survey_responses/logility-solutions-review-13101378)"** **Rating:** 4.0/5.0 stars *— Sugumar R.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-13101378) --- #### What Are G2 Users Discussing About Logility Solutions? - [What is your experience regarding pricing and costs for Logility Solutions, and how has it impacted your supply chain?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-logility-solutions-and-how-has-it-impacted-your-supply-chain) - [What is Logility Solutions used for?](https://www.g2.com/discussions/what-is-logility-solutions-used-for) - [What is Demand Management: Forecast Management used for?](https://www.g2.com/discussions/what-is-demand-management-forecast-management-used-for) - [What is JDA used for?](https://www.g2.com/discussions/what-is-jda-used-for) - [What is e2open?](https://www.g2.com/discussions/what-is-e2open) ### 15. [Bold Reports](https://www.g2.com/products/bold-reports/reviews) Bold Reports® by Syncfusion® is a modern self-service and embedded reporting solution that empowers organizations to design, manage, and deliver pixel-perfect, paginated reports with ease. It supports both RDL and RDLC formats, offering full compatibility and flexibility for enterprise reporting needs. With support for embedding in over 10 application platforms, including JavaScript, Angular, React, Blazor, and ASP.NET Core, Bold Reports seamlessly integrates into any tech stack. Bold Reports serves a wide range of users—from individual developers and small teams to large enterprises and government organizations—offering scalable solutions with export options that include PDF, Excel, Word, PowerPoint, and HTML. With an intuitive, WYSIWYG, drag-and-drop Report Designer, users of all skill levels can create interactive, rich reports using a wide array of 40+ report items: charts, tables, matrices, gauges, maps, barcodes, sparklines, and more. It supports over 30 data connectors, including SQL databases, Excel files, REST APIs, cloud services, and the Bold Data Hub for centralized data management. Backed by the end-to-end expert support of Syncfusion®, Bold Reports is ideal for organizations looking to scale their reporting with speed and intelligence. Customers benefit from 24/5 assistance from onboarding to full implementation through free, scheduled support calls, live chat, and email. Note: Older reviews may reference the product’s previous name, “Syncfusion® Report Platform.” **Average Rating:** 4.1/5.0 **Total Reviews:** 56 **How Do G2 Users Rate Bold Reports?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Bold Reports?** - **Seller:** [Syncfusion](https://www.g2.com/sellers/syncfusion) - **Company Website:** https://www.syncfusion.com - **Year Founded:** 2001 - **HQ Location:** Morrisville, North Carolina - **Twitter:** @Syncfusion (11,907 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/123064/ (2,658 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 56% Small-Business, 33% Mid-Market #### What Are Bold Reports's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Customer Support (9 reviews) - Easy Integrations (9 reviews) - Report Generation (8 reviews) - Integrations (7 reviews) **Cons:** - Learning Difficulty (6 reviews) - Slow Performance (6 reviews) - Report Issues (5 reviews) - Bugs (3 reviews) - Complex Usage (3 reviews) ### What Do G2 Reviewers Say About Bold Reports? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Bold Reports, appreciating its intuitive design and seamless integration capabilities. - Users praise the **excellent customer support** from Bold Reports, ensuring prompt assistance with any issues encountered. - Users value the **easy integrations** of Bold Reports, enhancing flexibility and streamlining report creation with various applications. - Users enjoy the **robust report generation capabilities** of Bold Reports, enhancing flexibility and usability in applications. - Users praise the **seamless integration** of Bold Reports, enhancing flexibility and ease within their applications. **Cons:** - Users find the **learning difficulty** challenging, with a steep curve and complicated setup processes at first. - Users find the **slow performance** of Bold Reports frustrating, especially with large reports and interface challenges. - Users report **issues with the report generation and documentation** , causing complications and slowing down development. - Users often face **bugs and glitches** with Bold Reports, impacting functionality and the overall experience. - Users find the **setup process for Bold Reports to be convoluted** , making initial use challenging and frustrating. #### What Are Recent G2 Reviews of Bold Reports? **"[Fast, Flexible & Fantastic Value!](https://www.g2.com/survey_responses/bold-reports-review-12761102)"** **Rating:** 5.0/5.0 stars *— Matthew R.* [Read full review](https://www.g2.com/survey_responses/bold-reports-review-12761102) --- **"[Impressive UI Simplifies Report Creation](https://www.g2.com/survey_responses/bold-reports-review-12616614)"** **Rating:** 5.0/5.0 stars *— Ronald N.* [Read full review](https://www.g2.com/survey_responses/bold-reports-review-12616614) --- #### What Are G2 Users Discussing About Bold Reports? - [What is Bold Reports used for?](https://www.g2.com/discussions/what-is-bold-reports-used-for) - 1 comment ### 16. [ibi WebFOCUS](https://www.g2.com/products/ibi-webfocus/reviews) The ibi WebFOCUS® platform is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and powerful visualizations. Combining these capabilities and data science in one unified platform, the WebFOCUS solution helps make data-driven decisions across the enterprise providing reports, dashboards, and customer-facing applications at scale. **Average Rating:** 4.4/5.0 **Total Reviews:** 149 **How Do G2 Users Rate ibi WebFOCUS?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind ibi WebFOCUS?** - **Seller:** [ibi](https://www.g2.com/sellers/ibi-c9a17c70-0d20-476a-899c-480706dd4ce4) - **Year Founded:** 1975 - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @infobldrs (32,864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/information-builders/ (894 employees on LinkedIn®) - **Phone:** 212-736-4433 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Government Administration - **Company Size:** 57% Enterprise, 32% Mid-Market #### What Are Recent G2 Reviews of ibi WebFOCUS? **"[WebFOCUS - Best Product for Analytics](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981)"** **Rating:** 4.5/5.0 stars *— Sanford K.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981) --- **"[MAKES DATA EASY!!!](https://www.g2.com/survey_responses/ibi-webfocus-review-719271)"** **Rating:** 5.0/5.0 stars *— Jill M.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-719271) --- #### What Are G2 Users Discussing About ibi WebFOCUS? - [What is TIBCO WebFOCUS used for?](https://www.g2.com/discussions/what-is-tibco-webfocus-used-for) ### 17. [Holistics Data](https://www.g2.com/products/holistics-data/reviews) Holistics lets BI teams build self-service analytics programmatically, so end users can find, trust, and ask deeper questions on their data. **Average Rating:** 4.3/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Holistics Data?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.2/10 (Category avg: 8.4/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Holistics Data?** - **Seller:** [Holistics](https://www.g2.com/sellers/holistics) - **Year Founded:** 2015 - **HQ Location:** Central Business District - **Twitter:** @holistics_bi (652 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10147065 (67 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 44% Mid-Market #### What Are Holistics Data's Pros and Cons? **Pros:** - Analytics (1 reviews) - Customer Support (1 reviews) - Dashboard Customization (1 reviews) - Data Visualization (1 reviews) - Detailed Analysis (1 reviews) **Cons:** - Coding Difficulty (1 reviews) - Initial Difficulty (1 reviews) - Learning Curve (1 reviews) - SQL Issues (1 reviews) ### What Do G2 Reviewers Say About Holistics Data? *AI-generated summary from verified user reviews* **Pros:** - Users value the **powerful dashboarding capabilities** of Holistics Data, enabling deep analysis with excellent integration options. - Users praise the **excellent and responsive support team** of Holistics Data, enhancing their overall experience and effectiveness. - Users value the **powerful dashboard customization** of Holistics Data, enhancing their analytical capabilities with seamless integrations. - Users highlight the **powerful data visualization** capabilities of Holistics Data, enhancing analysis and dashboard creation effectively. - Users love the **powerful dashboarding** features of Holistics Data, enabling deep analyses and meaningful insights effortlessly. **Cons:** - Users find the **dynamic AQL challenging** , though the new AI assistant provides some helpful support. - Users find the **initial difficulty** with dynamic AQL challenging, though AI assistance offers some guidance. - Users find the **learning curve challenging** with dynamic AQL, though the AI assistant provides some helpful support. - Users find it challenging to master **dynamic SQL** for effective analysis in Holistics Data dashboards. #### What Are Recent G2 Reviews of Holistics Data? **"[Outstanding, Good Value BI Tool with Powerful Dashboards and Great Support](https://www.g2.com/survey_responses/holistics-data-review-12111845)"** **Rating:** 5.0/5.0 stars *— Alex H.* [Read full review](https://www.g2.com/survey_responses/holistics-data-review-12111845) --- **"[Empowering Dashboards and Self-Service Insights with Holistics Data](https://www.g2.com/survey_responses/holistics-data-review-12611724)"** **Rating:** 4.5/5.0 stars *— Verified User in Consumer Services* [Read full review](https://www.g2.com/survey_responses/holistics-data-review-12611724) --- #### What Are G2 Users Discussing About Holistics Data? - [What is Holistics Data Software used for?](https://www.g2.com/discussions/what-is-holistics-data-software-used-for) ### 18. [KEY360](https://www.g2.com/products/key360/reviews) Key360 offers a universally applicable, cloud-based Business Management platform for Business Intelligence, Project Management, Big Data & Analytics, ERP, Behaviour and Strategy Modification. **Average Rating:** 4.8/5.0 **Total Reviews:** 10 **How Do G2 Users Rate KEY360?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 9.3/10 (Category avg: 8.4/10) - **Reports Interface:** 9.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.7/10 (Category avg: 8.5/10) **Who Is the Company Behind KEY360?** - **Seller:** [SSG Consulting](https://www.g2.com/sellers/ssg-consulting) - **Year Founded:** 2008 - **HQ Location:** Pretoria, Gauteng - **LinkedIn® Page:** https://www.linkedin.com/company/ssg-consulting/?trk=company_logo (13 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Services - **Company Size:** 75% Enterprise, 33% Small-Business #### What Are Recent G2 Reviews of KEY360? **"[Growing Business with KEY360](https://www.g2.com/survey_responses/key360-review-8509581)"** **Rating:** 5.0/5.0 stars *— LakshmiPriya G.* [Read full review](https://www.g2.com/survey_responses/key360-review-8509581) --- **"[Brilliant Business Intelligent software](https://www.g2.com/survey_responses/key360-review-8489979)"** **Rating:** 5.0/5.0 stars *— Anusuya R.* [Read full review](https://www.g2.com/survey_responses/key360-review-8489979) --- ### 19. [NovaceneAI Platform](https://www.g2.com/products/novaceneai-platform/reviews) The NovaceneAI® Platform is an AI-native solution designed to modernize organizational workflows by transforming unstructured data into actionable insights. It automates data analysis, streamlines decision-making processes, and accelerates time to value, enabling teams to focus on strategic initiatives rather than manual data processing. Key Features and Functionality: - Data Ingestion: Supports various data input methods, including API calls, web UI uploads, and extraction from unstructured files like MS Office documents, PDFs, and images. - Intelligent Transformation: Applies AI and machine learning algorithms for tasks such as clustering, classification, theme and keyword extraction, sentiment analysis, and more. - Custom Model Training: Allows users to train and retrain custom models without specialized knowledge, ensuring the platform evolves with organizational needs. - Visualization and Reporting: Provides built-in dashboards for real-time data visualization and generates automatic reports to facilitate immediate insight analysis. - Deployment Flexibility: Offers multiple deployment options, including single-tenant, on-premise, and offline configurations, ensuring data privacy and compliance with organizational security standards. Primary Value and Problem Solved: The NovaceneAI Platform addresses the challenge of managing and deriving insights from large volumes of unstructured data. By automating data analysis and integrating AI-driven automation, it reduces manual effort, minimizes errors, and accelerates decision-making processes. This empowers organizations to uncover patterns and trends, optimize operations, and maintain a competitive edge in their respective industries. **Average Rating:** 4.2/5.0 **Total Reviews:** 18 **How Do G2 Users Rate NovaceneAI Platform?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind NovaceneAI Platform?** - **Seller:** [Novacene AI Corp.](https://www.g2.com/sellers/novacene-ai-corp) - **Year Founded:** 2020 - **HQ Location:** Ottawa, CA - **LinkedIn® Page:** https://www.linkedin.com/company/novaceneai/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 28% Mid-Market #### What Are Recent G2 Reviews of NovaceneAI Platform? **"["NovaceneAI : Exploring the transformative Capabilities "](https://www.g2.com/survey_responses/novaceneai-platform-review-8822571)"** **Rating:** 4.5/5.0 stars *— Abhishek S.* [Read full review](https://www.g2.com/survey_responses/novaceneai-platform-review-8822571) --- **"[Flexible and equipped to thrive in any company, tech stack, or user environment](https://www.g2.com/survey_responses/novaceneai-platform-review-11247349)"** **Rating:** 5.0/5.0 stars *— Caitlin P.* [Read full review](https://www.g2.com/survey_responses/novaceneai-platform-review-11247349) --- ### 20. [Cloudera](https://www.g2.com/products/cloudera/reviews) 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. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 6.1/10 (Category avg: 8.4/10) - **Reports Interface:** 7.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,442 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### What Do G2 Reviewers Say About Cloudera? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience. - Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease. - Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection. - Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience. - Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless. **Cons:** - Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners. - Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization. - Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners. - Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution. - Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support. #### What Are Recent G2 Reviews of Cloudera? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) --- #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### 21. [Explo](https://www.g2.com/products/explo/reviews) Explo provides a powerful embedded dashboard and reporting solution. Securely share customizable product analytics, project reports, and KPIs with each of your customers all while seamlessly matching your product's design. Give your users the power to explore their data on their on by editing dashboards and building their own self serve data reports. **Average Rating:** 4.9/5.0 **Total Reviews:** 137 **How Do G2 Users Rate Explo?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 9.2/10 (Category avg: 8.4/10) - **Reports Interface:** 9.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Explo?** - **Seller:** [Explo](https://www.g2.com/sellers/explo) - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @tryexplo (657 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/explo-co (12 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Co-Founder - **Top Industries:** Computer Software, Financial Services - **Company Size:** 77% Small-Business, 22% Mid-Market #### What Are Explo's Pros and Cons? **Pros:** - Charting Features (3 reviews) - Dashboard Customization (3 reviews) - Ease of Use (3 reviews) - Easy Creation (3 reviews) - Customizability (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Usage (1 reviews) - Initial Difficulty (1 reviews) - Layout Issues (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Explo? *AI-generated summary from verified user reviews* **Pros:** - Users value the **flexible charting features** of Explo, enabling quick data connections and beautiful visualizations. - Users love the **flexible dashboard customization** in Explo, enhancing data visualization and user experience significantly. - Users value the **ease of use** of Explo, highlighting its intuitive UI and quick dashboard creation capabilities. - Users love the **easy creation** of dashboards in Explo, appreciating its flexibility and intuitive interface for customization. - Users value the **customizability** of Explo, appreciating its intuitive UI and flexible dashboard creation tools. **Cons:** - Users find the **complexity** of implementing customer-facing dashboards challenging, due to a difficult and unintuitive design. - Users find the **complex usage** of Explo challenging due to its unintuitive design and difficult learning curve. - Users find the **initial difficulty** in implementing customer-facing dashboards challenging due to the unintuitive design. - Users struggle with **layout issues** in Explo, finding the dashboard implementation complex and the design unintuitive. - Users find the **learning curve steep** due to Explo's unintuitive design and complex customer-facing dashboard implementation. #### What Are Recent G2 Reviews of Explo? **"[Explo Review](https://www.g2.com/survey_responses/explo-review-11673994)"** **Rating:** 5.0/5.0 stars *— Ravi T.* [Read full review](https://www.g2.com/survey_responses/explo-review-11673994) --- **"[Very useful](https://www.g2.com/survey_responses/explo-review-11657769)"** **Rating:** 5.0/5.0 stars *— Sowmiya R.* [Read full review](https://www.g2.com/survey_responses/explo-review-11657769) --- #### What Are G2 Users Discussing About Explo? - [How has Explo enhanced your data visualization efforts, and what features do you find most useful?](https://www.g2.com/discussions/how-has-explo-enhanced-your-data-visualization-efforts-and-what-features-do-you-find-most-useful) ### 22. [Infor Birst](https://www.g2.com/products/infor-birst/reviews) Birst is a native cloud business intelligence (BI) and business analytics platform that helps organizations understand and optimize complex processes in less time than traditional BI solutions. Built with patented automation and machine learning technologies, Birst’s Data-as-a-Service approach connects teams and applications across the enterprise via a trusted network of analytics and insights to inform smarter decisions. This unique approach helps leading organizations leverage all their siloed and diverse data sources and extract insights to improve workforce productivity, asset optimization, process efficiencies, and customer satisfaction—often in 90 days or less. **Average Rating:** 4.0/5.0 **Total Reviews:** 84 **How Do G2 Users Rate Infor Birst?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Infor Birst?** - **Seller:** [Infor](https://www.g2.com/sellers/infor) - **Year Founded:** 2002 - **HQ Location:** New York - **Twitter:** @Infor (18,472 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1711/ (22,257 employees on LinkedIn®) - **Phone:** 800-260-2640 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Mid-Market, 34% Enterprise #### What Are Recent G2 Reviews of Infor Birst? **"[Birst BI Capabilities are better then its competitors](https://www.g2.com/survey_responses/infor-birst-review-8280183)"** **Rating:** 4.5/5.0 stars *— Sumer S.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8280183) --- **"[Excellent Business Intelligence Tool](https://www.g2.com/survey_responses/infor-birst-review-8159886)"** **Rating:** 5.0/5.0 stars *— Sakshi J.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8159886) --- #### What Are G2 Users Discussing About Infor Birst? - [What is your experience with Infor Birst for business intelligence, and what features do you rely on?](https://www.g2.com/discussions/what-is-your-experience-with-infor-birst-for-business-intelligence-and-what-features-do-you-rely-on) - [What is Infor Birst used for?](https://www.g2.com/discussions/what-is-infor-birst-used-for) ### 23. [Pentaho](https://www.g2.com/products/pentaho/reviews) Pentaho is a modular, enterprise-grade platform that makes it easy to manage complex data—on-premises, in the cloud, or in hybrid environments. Whether structured or unstructured, your data becomes a trusted asset that teams can use to operate with confidence, agility, and control. **Average Rating:** 4.1/5.0 **Total Reviews:** 48 **How Do G2 Users Rate Pentaho?** - **Has the product been a good partner in doing business?:** 6.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.4/10) - **Reports Interface:** 7.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Pentaho?** - **Seller:** [Pentaho](https://www.g2.com/sellers/pentaho-d1c9c8d5-c72c-42b5-967d-4a0985833684) - **Year Founded:** 2004 - **HQ Location:** Santa Clara, CA - **LinkedIn® Page:** https://www.linkedin.com/company/pentaho/ (141 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Internet - **Company Size:** 48% Mid-Market, 30% Enterprise #### What Are Recent G2 Reviews of Pentaho? **"[Very easy to setup to build Snowflake reports and dashboards](https://www.g2.com/survey_responses/pentaho-review-4546630)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/pentaho-review-4546630) --- **"[Pentaho to work with external IT services](https://www.g2.com/survey_responses/pentaho-review-3904972)"** **Rating:** 4.5/5.0 stars *— Andreas W.* [Read full review](https://www.g2.com/survey_responses/pentaho-review-3904972) --- ### 24. [Kyubit Business Intelligence](https://www.g2.com/products/kyubit-business-intelligence/reviews) Kyubit is a collaborative, web-based Business Intelligence platform designed for simplicity, speed, and performance. Easy to implement and intuitive to use, it empowers teams to transform existing data into meaningful insights without complex setup or long development cycles. Kyubit BI connects directly to your SSAS OLAP (Tabular and Multidimensional) models, SQL databases, and Excel/CSV data sources — leveraging your existing infrastructure to deliver fast, visually compelling reports and interactive dashboards. Users can effortlessly slice, drill down, and explore data to uncover the insights that matter most. Advanced analytic capabilities are available both for your existing OLAP databases and for new analytic models created within Kyubit using SQL or Excel/CSV data. This flexibility allows organizations to enhance their current Microsoft BI environment while also expanding their analytics strategy when needed. BI content in Kyubit is secure, centrally managed, and built for collaboration. Reports and dashboards can be safely shared across teams, embedded into other applications, or distributed automatically through scheduled subscriptions. With role-based security and governance controls, organizations maintain full control over their data while enabling broader access to insights. With Kyubit BI, analytic dashboards and reports are created in minutes — not weeks — and are immediately ready for secure collaboration, interactive data exploration, and automated delivery. The result is faster decision-making, reduced reporting bottlenecks, and a more agile approach to enterprise analytics. Kyubit turns your existing data into a powerful, collaborative intelligence platform — helping your organization move from static reporting to dynamic, insight-driven performance. **Average Rating:** 4.4/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Kyubit Business Intelligence?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Kyubit Business Intelligence?** - **Seller:** [Kyubit Solutions Ltd.](https://www.g2.com/sellers/kyubit-solutions-ltd) - **Year Founded:** 2015 - **HQ Location:** Zagreb, Croatia - **Twitter:** @KyubitBI (25 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2220653/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of Kyubit Business Intelligence? **"[Great product and support](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-1806820)"** **Rating:** 5.0/5.0 stars *— Edouard (Ned) V.* [Read full review](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-1806820) --- **"[A BI solution with continuous development ](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-385102)"** **Rating:** 4.0/5.0 stars *— Aaron Q.* [Read full review](https://www.g2.com/survey_responses/kyubit-business-intelligence-review-385102) --- ### 25. [ClicData](https://www.g2.com/products/clicdata/reviews) ClicData is a cloud-based data platform that spans multiple product categories: Business Intelligence, ETL, Data Warehousing and Data Lakehouse, Data Visualization, Embedded Analytics, and AI-assisted Analytics. It is built to support the full data lifecycle, from ingestion and storage to transformation, visualization, and distribution, within a single environment. Mid-market companies use ClicData to consolidate data workflows that would otherwise require separate tools for each stage. The platform is used across industries including retail, healthcare, media, manufacturing, and public services, by both centralized data teams and operational groups managing their own reporting needs. Our core capabilities include: - Connecting to databases, cloud applications, APIs, and flat files through a library of pre-built connectors - Storing and organizing data in an integrated data warehouse and data lake structure - Cleaning and transforming data using no-code ETL interfaces or SQL - Building dashboards and reports using a drag-and-drop editor or an AI dashboard builder that generates interactive, fully functional dashboards from plain-language prompts - Scheduling data refreshes, automating alerts, and delivering reports on defined triggers - Embedding dashboards into third-party platforms or client-facing applications - Extending analysis with Python scripts for statistical modeling or machine learning workflows For Leadership and Business Leaders ClicData provides a governed environment where data from multiple sources can be consolidated and made available across teams. It reduces dependency on ad hoc data requests by giving your team leads and operational teams direct access to up-to-date dashboards and reports. AI-assisted features support anomaly detection and automated alerting, so leadership can be notified of significant changes in key metrics without relying on manual monitoring. Scheduling and alerting features support proactive monitoring without manual intervention. For Data Practitioners Data engineers and analysts can manage the full pipeline: ingestion, transformation, modeling, and delivery without switching between tools. ClicData supports both no-code and SQL or Python-based transformation, version-controlled data flows or predictive model development. AI capabilities are accessible at the pipeline level, allowing practitioners to integrate predictive models or automated data quality checks directly into existing data flows. For Operational and Business Users Teams outside of IT can access curated dashboards, apply filters, and work with data that has already been validated upstream. AI-assisted features surface trends, forecasts, and anomalies directly within dashboards, making it possible for non-technical users to act on predictive insights without requiring analytical expertise. Embedded analytics capabilities allow organizations to surface data, including AI-generated insights, directly within the products or portals their end users already work in, without requiring those users to log into a separate BI tool. ClicData addresses the common challenge of fragmented data stacks by covering data engineering, storage, and analytics in one platform. It is suited for growing organizations looking to standardize how data is collected, managed, and consumed across different teams and functions. **Average Rating:** 4.4/5.0 **Total Reviews:** 36 **How Do G2 Users Rate ClicData?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind ClicData?** - **Seller:** [ClicData](https://www.g2.com/sellers/clicdata) - **Company Website:** https://www.clicdata.com/ - **Year Founded:** 2008 - **HQ Location:** Lille, France - **Twitter:** @ClicData (806 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/278851/ (46 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 51% Small-Business, 32% Mid-Market #### What Are Recent G2 Reviews of ClicData? **"[Quick and simple solution to implement with a responsive and efficient helpdesk team](https://www.g2.com/survey_responses/clicdata-review-11445571)"** **Rating:** 4.5/5.0 stars *— Verified User in Restaurants* [Read full review](https://www.g2.com/survey_responses/clicdata-review-11445571) --- **"[Outstanding Customer Service and Communication from the ClicData Team](https://www.g2.com/survey_responses/clicdata-review-12848126)"** **Rating:** 4.0/5.0 stars *— Verified User in Primary/Secondary Education* [Read full review](https://www.g2.com/survey_responses/clicdata-review-12848126) --- #### What Are G2 Users Discussing About ClicData? - [What are the benefits of business intelligence?](https://www.g2.com/discussions/clicdata-what-are-the-benefits-of-business-intelligence) - [How do I create a dashboard in ClicData?](https://www.g2.com/discussions/how-do-i-create-a-dashboard-in-clicdata) - 1 comment, 1 upvote - [Is ClicData free?](https://www.g2.com/discussions/is-clicdata-free) - 1 comment - [What is CLIC software?](https://www.g2.com/discussions/what-is-clic-software) - 1 comment ## 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.