# Best Analytics Platforms - Page 2 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* The best analytics platform in 2026 is Microsoft Power BI, rated 4.5 out of 5 on G2 based on 1,600+ verified reviews. For data engineering and machine learning workflows, Databricks and Alteryx both lead at 4.6 stars, with Databricks excelling in governed lakehouse analytics and Alteryx in no-code automation. 1. Microsoft Power BI — 4.5/5 (1,600+ reviews): Microsoft-connected interactive dashboards 2. Tableau — 4.4/5 (3,700+ reviews): Flexible visual dashboard exploration 3. Databricks — 4.6/5 (1,300+ reviews): Governed lakehouse analytics and ML workflows 4. SAS Viya — 4.3/5 (800+ reviews): Cloud analytics for governed data science 5. Alteryx — 4.6/5 (800+ reviews): No-code data preparation and automation *Updated June 2026. Based on 2026 G2 verified review data across 6,100+ products.* Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making. Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business. These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization. Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly. Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience. Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization. To qualify for inclusion in the Analytics Platforms category, a product must: - Ingest and integrate data from a wide range of structured and semi-structured sources - Prepare and transform data using built-in tools for cleaning, enrichment, and formatting - Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps - Enable users to model data relationships, join datasets, and explore data interactively - Offer tools to build meaningful business reports, dashboards, and visualizations - Allow creation and sharing of internal analytics applications or embedded insights across teams ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,589 reviews) | Microsoft-connected interactive dashboards | "[Zero-Code Dashboards with Easy Data Transformations and One-Click Publishing](https://www.g2.com/survey_responses/microsoft-power-bi-review-12864007)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,631 reviews) | Flexible visual dashboard exploration | "[Tableau’s Flexible, Powerful Analytics with Deep Integrations and a Standout Community](https://www.g2.com/survey_responses/tableau-review-13060039)" | | 3 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,284 reviews) | Governed lakehouse analytics and ML workflows | "[Great Spark Scaling, But Slow Cluster Boot Times](https://www.g2.com/survey_responses/databricks-review-12905667)" | | 4 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | Cloud analytics for governed data science | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 5 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (829 reviews) | No-code data preparation and automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 6 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,584 reviews) | Governed shared BI metrics | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" | | 7 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (999 reviews) | Centralized self-service business dashboards | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (265 reviews) | Semantic-layer acceleration for enterprise BI | "[Kyvos Unified Our Business Logic with a Single Semantic Model](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12797024)" | | 9 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (399 reviews) | SQL and Python notebook analytics apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | | 10 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 reviews) | Warehouse-native spreadsheet-style analytics | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | --- ## What Are the Most Common Questions About Analytics Platforms? *AI-generated · Last updated: May 26, 2026* ### What analytics platforms with intuitive UI that non-technical users adopt without extensive training? Based on G2 reviews, buyers looking for analytics platforms with an intuitive interface often prioritize drag-and-drop workflows, easy report creation, and minimal training overhead. According to verified users, Microsoft Power BI is frequently described as easy to use for dashboard creation, with non-technical teams able to navigate dashboards and build simple reports. Tableau reviewers also mention beginner-friendly dashboarding and drag-and-drop analysis, especially for quick visualization work. G2 reviewers mention that Looker can support self-service access once models are set up, though some users note a steeper learning curve for report creation. Across recent reviews, ease of use is strongest when teams need straightforward dashboard access, fast setup, and familiar visual exploration. ### What most trusted analytics solutions by data teams based on user reviews for teams with similar? Based on G2 reviews, trust among data teams in this category often comes from reliability in handling large datasets, flexible workflows, and strong collaboration between technical and business users. According to verified users, Databricks is repeatedly trusted for unifying data engineering, analytics, and machine learning in one environment, which reduces tool sprawl. G2 reviewers mention Microsoft Power BI as dependable for centralizing reporting and sharing metrics across teams, especially in Microsoft-heavy environments. Tableau is also trusted for visual exploration and dashboard creation, particularly when teams need strong storytelling and flexible analysis. Recent reviews show that data teams value tools they can rely on for scaling workflows, consolidating sources, and keeping metrics accessible to stakeholders. ### Which analytics solutions integrate with data warehouses like snowflake, BigQuery, and Redshift seamlessly? Based on G2 reviews, Databricks stands out for teams that need seamless integration with modern data warehouse and cloud data environments. According to verified users, Databricks brings data engineering, analytics, and machine learning into one platform while connecting well with tools such as Snowflake, BigQuery, and related cloud ecosystems. G2 reviewers mention native connectors, shared notebooks, workflow orchestration, and unified data handling as key reasons it simplifies work across warehouse-based stacks. Reviews also describe easier collaboration and fewer handoffs between teams because data processing and analysis stay in one environment. For buyers prioritizing warehouse-centric analytics, recent feedback most consistently points to Databricks as the strongest fit in this dataset. ### What top analytics platforms for mid-market companies building self-service dashboards across departments that scales with team? Based on G2 reviews, mid-market teams building self-service dashboards across departments often look for tools that centralize reporting, support business users, and reduce dependence on manual spreadsheet work. G2 reviewers mention Microsoft Power BI as a strong fit for cross-functional KPI tracking, automated dashboards, and broad access across business users. According to verified users, Databricks supports scalable analytics workflows when teams need broader data engineering and analytics in one place. Tableau is also cited for interactive dashboards and accessible visual exploration, especially when organizations want polished reporting for multiple stakeholders. Across recent reviews, these platforms are described as helpful for scaling visibility across finance, operations, sales, and marketing without constantly rebuilding reports. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – used to centralize reporting and give business teams self-service dashboards across departments - [Databricks](https://www.g2.com/products/databricks/reviews) – supports scalable data workflows that combine analytics, reporting, and shared access to large datasets - [Tableau](https://www.g2.com/products/tableau/reviews) – helps teams build interactive dashboards and share visual insights across business functions ### Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration? Based on G2 reviews, Microsoft Power BI is a strong choice when teams need fast query response and flexible drill-down for ad-hoc exploration. According to verified users, Power BI makes it easy to drill into numbers, filter data, and explore trends without writing repeated custom queries. G2 reviewers mention cross-filtering, interactive dashboards, and quick access to KPIs as key strengths for day-to-day analysis. Reviews also highlight its ability to centralize data from multiple sources and let business users navigate details on their own. While some reviewers mention performance slowdowns on especially large or complex datasets, recent feedback still shows Power BI as the most consistently referenced option here for accessible drill-down analysis. ### What analytics platforms supporting collaborative dashboards, annotations, and mobile access for on-the-go insights? Based on G2 reviews, collaboration and mobile accessibility are recurring strengths for several analytics platforms. According to verified users, Domo supports sharing dashboards, discussing insights, and enabling collaboration across departments, with reviewers also highlighting its mobile experience. G2 reviewers mention Yellowfin BI for collaboration through comments, annotations, and shared reporting workflows that help teams discuss data in context. Microsoft Power BI is also noted for mobile and web access, along with easy dashboard sharing and centralized reporting. Recent reviews suggest these tools are most relevant when teams need analytics that travel beyond a desktop, allowing leaders and frontline users to access dashboards, review updates, and align on performance while moving between meetings or locations. ### Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation? Based on G2 reviews, Looker is one of the strongest options for preventing incorrect conclusions through governed metrics and centralized definitions. According to verified users, its modeling approach helps define metrics once and apply them consistently across dashboards, reducing disagreements over what a number means. G2 reviewers mention that this centralized layer helps stop teams from pulling conflicting versions of the same metric and creates a more trusted reporting environment. Reviews also describe faster decision-making because teams are working from one shared definition instead of reconciling spreadsheets. For organizations focused on governance, consistency, and reducing metric drift, recent review language most directly supports Looker in this area. ### What is the best analytics platforms for business teams accessing insights without requiring SQL or data science skills? Based on G2 reviews, Microsoft Power BI is the best-supported answer in this dataset for business teams that need insights without requiring SQL or data science skills. According to verified users, it is easy to use, supports drag-and-drop reporting, and helps non-technical users access dashboards and explore data without heavy training. G2 reviewers mention self-service dashboards, natural language features, and accessible visualizations that help staff make informed decisions without depending on technical teams for every question. Reviews also note strong integration with common business tools and data sources, which helps teams get started faster. For non-technical business users, Power BI is the most consistently referenced option in recent reviews. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – helps non-technical teams build and use dashboards with drag-and-drop reporting and familiar workflows - [Tableau](https://www.g2.com/products/tableau/reviews) – supports quick visual exploration with an intuitive drag-and-drop interface for broad business use - [Looker](https://www.g2.com/products/looker/reviews) – enables self-service exploration and shared dashboards once models are set up for business teams ### What highest rated analytics platform for enterprises democratizing data access across business functions? Based on G2 reviews, enterprises democratizing data access across business functions often choose platforms that centralize metrics and make dashboards accessible to non-technical users. G2 reviewers mention Microsoft Power BI for unifying reporting across departments and helping business users explore dashboards directly. According to verified users, Looker supports centralized metric definitions and broader self-service analytics across organizations, reducing inconsistencies between teams. Tableau is also frequently cited for making complex datasets easier to communicate through interactive dashboards and visual storytelling. Across recent reviews, these platforms are associated with giving finance, operations, marketing, and leadership a common view of performance so teams can act without waiting on repeated manual reporting. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – centralizes dashboards and gives business teams direct access to live metrics across functions - [Looker](https://www.g2.com/products/looker/reviews) – provides a centralized modeling layer that helps teams work from shared definitions across the organization - [Tableau](https://www.g2.com/products/tableau/reviews) – makes cross-functional insights easier to share through interactive dashboards and visual exploration ### What analytics solutions with robust caching and performance optimization to maintain fast speeds at scale? Based on G2 reviews, several analytics solutions stand out for maintaining speed at scale through performance optimization. According to verified users, Databricks is frequently praised for handling large-scale data processing efficiently and supporting complex analytics without major slowdowns when workflows are managed well. G2 reviewers mention Kyvos Semantic Layer for accelerating query response on very large datasets and improving dashboard responsiveness, especially in BI environments. Tableau and Microsoft Power BI are also noted for strong performance in many day-to-day scenarios, though reviewers sometimes mention tuning is important as complexity grows. Across recent reviews, the strongest performance-focused language centers on Databricks and Kyvos when buyers need fast access to large volumes of data. ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 355 ### Category Stats (Jul 2026) - **Average Rating**: 4.49/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.2%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 06, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,500+ Authentic Reviews - 355+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Analytics Platforms Is Best for Your Use Case? - **Leader:** [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - **Highest Performer:** [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) - **Easiest to Use:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - **Best Free Software:** [Tableau](https://www.g2.com/products/tableau/reviews) --- **Sponsored** ### Criteria Hire to Inspire: Reveal the real potential behind every candidate with science you can trust and AI you can explain. Scientifically validated assessments, structured interviews, and talent development tools built to improve hiring outcomes and designed with your candidates in mind. Criteria is a comprehensive talent management platform designed to enhance talent acquisition and workforce development outcomes. This innovative solution provides organizations with the tools necessary to identify, assess, and nurture the best-fit talent for their specific needs. By integrating advanced candidate assessments and structured interview processes, Criteria enables companies to make informed hiring decisions while fostering a culture of continuous improvement and growth among their teams. With a focus on both pre-hire and post-hire phases, Criteria supports a wide range of use cases, from evaluating candidates to facilitating ongoing employee training and performance management. This holistic approach ensures that organizations not only attract top talent but also retain and develop high-performing teams. Criteria's assessments can be customized to align with specific job requirements, ensuring that the selection process is both relevant and efficient. Additionally, the platform offers structured interview frameworks that guide hiring managers in conducting focused interviews, helping to reduce bias and improve the overall quality of candidate evaluations. Beyond the hiring process, Criteria offers Develop, an innovative post-hire development tool. The platform provides resources for ongoing employee engagement and professional development, thanks to 24/7 AI-driven coaching. By leveraging data-driven insights, organizations can identify areas for improvement and enhance employee skills and productivity. This continuous feedback loop not only boosts individual performance but also contributes to the overall success of the organization. Criteria's comprehensive suite of tools empowers organizations to unlock the full potential of their workforce, ensuring that they not only hire the right talent but also cultivate an environment where employees can thrive and contribute to long-term success. [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=2026-07-06T23%3A17%3A34Z&secure%5Bdisplayable_resource_id%5D=261&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=21088&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=21088&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms&secure%5Btoken%5D=75ef9c00e1909c8e496a3d9598b45eaeffbe36f61325176dbe3a8dff06cf6d04&secure%5Burl%5D=https%3A%2F%2Finfo.criteriacorp.com%2Fvideo-interviewing-demo-request%2F%3Futm_medium%3Dpaid_social%26utm_source%3Dg2&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [Lightdash](https://www.g2.com/products/lightdash/reviews) 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. **Average Rating:** 4.9/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Lightdash?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 9.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Lightdash?** - **Seller:** [Lightdash](https://www.g2.com/sellers/lightdash) - **HQ Location:** San Francisco, US - **Twitter:** @lightdash_devs (2,416 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lightdash/ (29 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 58% Mid-Market, 21% Small-Business #### What Are Recent G2 Reviews of Lightdash? **"[Precise Data Insights, Minor Clunky Aspects](https://www.g2.com/survey_responses/lightdash-review-12669063)"** **Rating:** 4.5/5.0 stars *— Alice P.* [Read full review](https://www.g2.com/survey_responses/lightdash-review-12669063) --- **"[Lightdash: Lightning-Fast dbt-Powered BI with Rapid Feature Releases](https://www.g2.com/survey_responses/lightdash-review-12586837)"** **Rating:** 5.0/5.0 stars *— Moritz V.* [Read full review](https://www.g2.com/survey_responses/lightdash-review-12586837) --- ### 2. [Knowi](https://www.g2.com/products/knowi/reviews) Knowi is an end-to-end AI-powered analytics platform designed for modern data, enabling enterprises of all sizes to dramatically accelerate the journey from raw data to actionable insights. With native integration to virtually any data source—including SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB), REST APIs, cloud databases, and documents—Knowi eliminates the need for complex data transformation processes required by alternative solutions. Data teams can integrate, blend, visualize, and analyze data from any source 10X faster, all within a single platform. They can then leverage AI to uncover insights, embed analytics into applications, share dashboards with business users, and automate reporting. **Average Rating:** 4.9/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Knowi?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 9.3/10 (Category avg: 8.4/10) - **Reports Interface:** 9.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Knowi?** - **Seller:** [Knowi](https://www.g2.com/sellers/knowi) - **Year Founded:** 2015 - **HQ Location:** Oakland, California - **Twitter:** @knowico (2,636 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3675224/ (23 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 48% Small-Business, 37% Mid-Market #### What Are Knowi's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Business Growth (3 reviews) - AI Capabilities (2 reviews) - Automation (2 reviews) - Ease of Use (2 reviews) **Cons:** - Learning Curve (2 reviews) - Lack of Guidance (1 reviews) - Lack of Tutorials (1 reviews) ### What Do G2 Reviewers Say About Knowi? *AI-generated summary from verified user reviews* **Pros:** - Users rave about Knowi's **exceptional customer support** , highlighting their responsive, knowledgeable, and proactive team that ensures success. - Users commend Knowi for its **exceptional onboarding experience** and dedicated support, greatly enhancing business growth potential. - Users commend Knowi for its **exceptional AI-driven analytics capabilities** , enhancing data integration and reporting efficiency. - Users value the **automation** features of Knowi, eliminating manual tasks and enhancing efficiency in data reporting. - Users appreciate the **ease of use** with Knowi, benefiting from intuitive dashboarding and exceptional onboarding support. **Cons:** - Users find the **learning curve steep** , especially for advanced features and API connections, before fully benefiting from Knowi. - Users feel there's a **lack of guidance** for API connections, making initial setups time-consuming with Knowi. - Users feel there is a **lack of tutorials** , making initial setup of API connections challenging and time-consuming. #### What Are Recent G2 Reviews of Knowi? **"[Intuitive Dashboarding with Exceptional Support](https://www.g2.com/survey_responses/knowi-review-12378559)"** **Rating:** 5.0/5.0 stars *— Jose D.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12378559) --- **"[Chief Executive Officer](https://www.g2.com/survey_responses/knowi-review-12447928)"** **Rating:** 5.0/5.0 stars *— Paul N.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12447928) --- ### 3. [Luzmo](https://www.g2.com/products/luzmo/reviews) Luzmo helps businesses embed data products hassle-free, empowering their users with fast, confident decisions in record time. **Average Rating:** 4.6/5.0 **Total Reviews:** 70 **How Do G2 Users Rate Luzmo?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Luzmo?** - **Seller:** [Luzmo NV](https://www.g2.com/sellers/luzmo-nv) - **Year Founded:** 2015 - **HQ Location:** Brooklyn, US - **Twitter:** @luzmo_official (895 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10198259/ (50 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 59% Small-Business, 32% Mid-Market #### What Are Luzmo's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Embedding Features (5 reviews) - Customization (4 reviews) - Insights (4 reviews) - Setup Ease (4 reviews) **Cons:** - Complexity (2 reviews) - Limited Options (2 reviews) - Performance Issues (2 reviews) - Table Limitations (2 reviews) - Bugs (1 reviews) ### What Do G2 Reviewers Say About Luzmo? *AI-generated summary from verified user reviews* **Pros:** - Users praise Luzmo for its **ease of use** , allowing quick onboarding and efficient dashboard creation for all skill levels. - Users rave about Luzmo's **embedded analytics** , enabling swift market entry and seamless insights integration directly into user experiences. - Users value Luzmo's **customization capabilities** , enhancing B2B product creation and ensuring tailored insights for diverse clients. - Users admire Luzmo's **customer-first approach** , noting exceptional responsiveness and support for enterprise needs in analytics. - Users highlight the **ease of setup** with Luzmo, allowing rapid deployment and a smooth onboarding experience. **Cons:** - Users find Luzmo's **complexity** evident in its performance issues and cumbersome setup, especially for larger datasets. - Users note the **limited querying options** in Luzmo, making complex data relationships challenging and awkward to manage. - Users report **performance issues** with large datasets in Luzmo, impacting workflow and dashboard functionality. - Users note **table limitations** , struggling with complex queries and missing configuration options in Luzmo's chart functionality. - Users report **performance and sync issues** with larger datasets, along with lag and limited editing capabilities affecting usability. #### What Are Recent G2 Reviews of Luzmo? **"[Fast, Beautiful Dashboards and Effortless Embedding](https://www.g2.com/survey_responses/luzmo-review-11991075)"** **Rating:** 4.5/5.0 stars *— Shanti B.* [Read full review](https://www.g2.com/survey_responses/luzmo-review-11991075) --- **"[Powerful Embedded BI with Proactive Support Addressing Performance at Scale](https://www.g2.com/survey_responses/luzmo-review-12246440)"** **Rating:** 4.5/5.0 stars *— Verified User in Logistics and Supply Chain* [Read full review](https://www.g2.com/survey_responses/luzmo-review-12246440) --- #### What Are G2 Users Discussing About Luzmo? - [What is Cumul.io used for?](https://www.g2.com/discussions/what-is-cumul-io-used-for) ### 4. [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. **Average Rating:** 4.5/5.0 **Total Reviews:** 90 **How Do G2 Users Rate KNIME?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind KNIME?** - **Seller:** [KNIME](https://www.g2.com/sellers/knime) - **Company Website:** https://knime.com - **Year Founded:** 2008 - **HQ Location:** Zurich, Switzerland - **Twitter:** @knime (7,998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/692207?trk=tyah&trkInfo=clickedVertical%3Acompany%2CclickedEntityId%3A692207%2Cidx%3A2-1-4%2CtarId%3A1454002156993%2Ctas%3Aknime (244 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Higher Education - **Company Size:** 44% Enterprise, 33% Mid-Market #### What Are KNIME's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Coding Ease (4 reviews) - Ease of Learning (4 reviews) - Learning (4 reviews) - Data Visualization (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Memory Usage (3 reviews) - Storage Limitations (3 reviews) - Data Management Issues (2 reviews) - Insufficient Learning Resources (2 reviews) ### What Do G2 Reviewers Say About KNIME? *AI-generated summary from verified user reviews* **Pros:** - Users find KNIME **extremely easy to use** , appreciating its intuitive interface and point-and-click workflow capabilities. - Users appreciate the **coding ease** of KNIME, allowing non-coders to build powerful workflows effortlessly. - Users appreciate the **ease of learning** with KNIME, allowing beginners to quickly start delivering results. - Users find KNIME to be **easy to learn** , enabling quick delivery of data solutions and enhancing workflow efficiency. - Users praise the **user-friendly data visualization tools** of KNIME, which simplify complex analyses for everyone. **Cons:** - Users find the **initial learning curve challenging** , especially for those new to data science or visual programming. - Users experience **memory availability issues** with KNIME, especially when handling large files, impacting performance and efficiency. - Users often face **storage limitations** with KNIME, experiencing slow performance and memory issues, especially with large datasets. - Users find that **data management issues** hinder their experience, particularly with file handling and database readability. - Users find the **lack of learning resources** frustrating, impacting their ability to fully utilize KNIME's features. #### What Are Recent G2 Reviews of KNIME? **"[KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI](https://www.g2.com/survey_responses/knime-review-12992618)"** **Rating:** 5.0/5.0 stars *— Guylaine B.* [Read full review](https://www.g2.com/survey_responses/knime-review-12992618) --- **"[KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals](https://www.g2.com/survey_responses/knime-review-12976842)"** **Rating:** 5.0/5.0 stars *— Charm M.* [Read full review](https://www.g2.com/survey_responses/knime-review-12976842) --- #### What Are G2 Users Discussing About KNIME? - [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for) - [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment - [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics) - [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good) - [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform) ### 5. [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions. **Average Rating:** 4.3/5.0 **Total Reviews:** 414 **How Do G2 Users Rate Splunk Enterprise?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Reports Interface:** 5.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Splunk Enterprise?** - **Seller:** [Cisco](https://www.g2.com/sellers/cisco) - **Year Founded:** 1984 - **HQ Location:** San Jose, CA - **Twitter:** @Cisco (720,366 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,545 employees on LinkedIn®) - **Ownership:** NASDAQ:CSCO **Who Uses This Product?** - **Who Uses This:** Software Engineer, Senior Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 64% Enterprise, 27% Mid-Market #### What Are Splunk Enterprise's Pros and Cons? **Pros:** - Ease of Use (46 reviews) - Log Management (31 reviews) - Integrations (26 reviews) - Features (25 reviews) - Dashboards (23 reviews) **Cons:** - Expensive (32 reviews) - Learning Curve (29 reviews) - Slow Performance (19 reviews) - Complexity (18 reviews) - Pricing Issues (18 reviews) ### What Do G2 Reviewers Say About Splunk Enterprise? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Splunk Enterprise, enabling quick access and seamless data analysis across large datasets. - Users value the **robust data ingestion** capabilities of Splunk Enterprise, effectively managing diverse data sources with ease. - Users praise the **seamless integrations** of Splunk Enterprise, enabling efficient data management across various platforms. - Users appreciate the **flexibility and powerful analytics** of Splunk Enterprise, enabling efficient data handling and visualization. - Users find the **powerful dashboards** of Splunk Enterprise essential for visualizing data and enhancing team collaboration. **Cons:** - Users find Splunk Enterprise **too expensive** for individual use, especially with limits on the free trial version. - Users find the **learning curve steep** for Splunk Enterprise, making it challenging for new users to navigate effectively. - Users often experience **slow performance** with Splunk Enterprise, leading to frustrating delays and challenges in troubleshooting issues. - Users find **complex configuration** necessary for Splunk Enterprise, challenging to navigate and may hinder initial usability. - Users find the **pricing issues** of Splunk Enterprise to be a major barrier due to high costs and limitations. #### What Are Recent G2 Reviews of Splunk Enterprise? **"[SPL search and dashboards are really useful](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)"** **Rating:** 4.0/5.0 stars *— Nishith J.* [Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655) --- **"[Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)"** **Rating:** 4.5/5.0 stars *— RaviShankar S.* [Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230) --- #### What Are G2 Users Discussing About Splunk Enterprise? - [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment - [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment - [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment - [Which apps ship with Splunk Enterprise?](https://www.g2.com/discussions/which-apps-ship-with-splunk-enterprise) - 1 comment - [What does Splunk Enterprise do?](https://www.g2.com/discussions/what-does-splunk-enterprise-do) - 1 comment ### 6. [Intellicus](https://www.g2.com/products/intellicus/reviews) Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use data to accelerate their growth. Intellicus Technologies tailor solutions based on your needs, instead of retrofitting them to ‘customizable’ one-size-fits-all solutions. Intellicus offers end-to-end data integration through ETL, integrating sophisticated databases, ERP solutions, legacy systems, telephony, ACDs till flat file systems into a data warehouse that becomes the single source of truth. Intellicus’ self-serve reporting, OLAP capabilities and interactive analytics dashboards allow users to drill down & drill up, zoom out or slice-and-dice data to create a 360-degree view of the business. Auto-ML based what-if predictions deliver power and agility to small and large enterprises so that they can make business critical decisions based on science. Ready to take the next step in your digital transformation? Write to marketing@intellicus.com today **Average Rating:** 4.6/5.0 **Total Reviews:** 119 **How Do G2 Users Rate Intellicus?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Intellicus?** - **Seller:** [Intellicus Technologies](https://www.g2.com/sellers/intellicus-technologies) - **Company Website:** https://www.intellicus.com - **Year Founded:** 2004 - **HQ Location:** Los Gatos, CA - **Twitter:** @Intellicus (277 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/intellicus-technologies (241 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 59% Mid-Market, 23% Enterprise #### What Are Intellicus's Pros and Cons? **Pros:** - Reporting (20 reviews) - Ease of Use (19 reviews) - Data Analysis (17 reviews) - Dashboard Customization (14 reviews) - User Interface (14 reviews) **Cons:** - Difficult Learning (17 reviews) - Learning Curve (17 reviews) - Complex Usability (16 reviews) - Learning Difficulty (10 reviews) - Complexity (9 reviews) ### What Do G2 Reviewers Say About Intellicus? *AI-generated summary from verified user reviews* **Pros:** - Users value the **live dashboards and customizable reporting** options of Intellicus, enhancing efficiency and control over data. - Users value the **ease of use** of Intellicus, appreciating its seamless data integration and user-friendly reporting tools. - Users value the **insightful data analysis** provided by Intellicus, enhancing business intelligence and decision-making capabilities. - Users love the **dashboard customization** in Intellicus, enabling swift, tailored insights and efficient performance tracking. - Users value the **user-friendly interface** of Intellicus, which simplifies dashboard creation and customization without needing IT support. **Cons:** - Users find the **difficult learning** curve challenging, especially without prior coding experience, requiring additional training and modeling. - Users find the **learning curve steep** with Intellicus, especially those unfamiliar with coding or complex interfaces. - Users find **complex usability** in Intellicus, particularly with advanced features and scripting that require expertise to navigate. - Users find the **learning difficulty** of Intellicus challenging, especially those without a coding background. - Users find the **high complexity** in setup and advanced features challenging without basic database knowledge. #### What Are Recent G2 Reviews of Intellicus? **"[A Powerful BI & Reporting Platform](https://www.g2.com/survey_responses/intellicus-review-7654115)"** **Rating:** 5.0/5.0 stars *— Jaswanth S.* [Read full review](https://www.g2.com/survey_responses/intellicus-review-7654115) --- **"[Excellent for Data Engineering and Visualization](https://www.g2.com/survey_responses/intellicus-review-11985902)"** **Rating:** 5.0/5.0 stars *— Abhishek D.* [Read full review](https://www.g2.com/survey_responses/intellicus-review-11985902) --- #### What Are G2 Users Discussing About Intellicus? - [What is Intellicus used for?](https://www.g2.com/discussions/what-is-intellicus-used-for) - 1 comment, 1 upvote ### 7. [datapine](https://www.g2.com/products/rib-software-datapine/reviews) datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution. **Average Rating:** 4.6/5.0 **Total Reviews:** 26 **How Do G2 Users Rate datapine?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 10.0/10 (Category avg: 8.4/10) - **Reports Interface:** 10.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind datapine?** - **Seller:** [RIB Software](https://www.g2.com/sellers/rib-software) - **Year Founded:** 1961 - **HQ Location:** Stuttgart, DE - **Twitter:** @RIB_Global (1,214 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rib-software/ (1,556 employees on LinkedIn®) - **Ownership:** ETR:RIB **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 42% Small-Business #### What Are Recent G2 Reviews of datapine? **"[All in one BI tool with powerful features](https://www.g2.com/survey_responses/datapine-review-5112205)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/datapine-review-5112205) --- **"[Great predictive analytics features for budgeting](https://www.g2.com/survey_responses/datapine-review-7521266)"** **Rating:** 5.0/5.0 stars *— Verified User in Consumer Services* [Read full review](https://www.g2.com/survey_responses/datapine-review-7521266) --- ### 8. [Hurree](https://www.g2.com/products/hurree/reviews) Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity. **Average Rating:** 4.8/5.0 **Total Reviews:** 74 **How Do G2 Users Rate Hurree?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Hurree?** - **Seller:** [Hurree](https://www.g2.com/sellers/hurree) - **Company Website:** https://www.hurree.co/ - **Year Founded:** 2018 - **HQ Location:** Belfast, Antrim - **Twitter:** @Hurree_me (896 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hurree/ (48 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 58% Small-Business, 42% Mid-Market #### What Are Hurree's Pros and Cons? **Pros:** - Ease of Use (352 reviews) - Analytics (240 reviews) - Data Visualization (188 reviews) - Efficiency (171 reviews) - Insights (167 reviews) **Cons:** - Learning Curve (122 reviews) - Limited Customization (72 reviews) - Limited Options (63 reviews) - Missing Features (58 reviews) - Learning Difficulty (57 reviews) ### What Do G2 Reviewers Say About Hurree? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Hurree, making client engagement and data presentation simple and effective. - Users value the **intuitive interface and customizable dashboards** of Hurree for effective data visualization and tracking. - Users praise Hurree for its **intuitive data visualization** that simplifies understanding and enhances team productivity. - Users appreciate the **efficiency** of Hurree in presenting lead sources and enhancing client understanding with intuitive setups. - Users value Hurree's **transformative insights** , appreciating its intuitive interface and reliable data for informed decision-making. **Cons:** - The **initial learning curve** can be overwhelming, but support helps users adapt to Hurree's features over time. - Users find the **limited customization options** of Hurree restricts their ability to tailor the platform effectively. - Users find **limited reporting features** and inflexible integrations hinder their ability for deeper analysis in Hurree. - Users are frustrated by the **lack of AI integration** , though there's hope for future improvements in this area. - Users find the **learning difficulty** in setting data ranges quite challenging, affecting their overall experience with Hurree. #### What Are Recent G2 Reviews of Hurree? **"[Game-Changer for Data-Driven Marketing Teams](https://www.g2.com/survey_responses/hurree-review-12533440)"** **Rating:** 5.0/5.0 stars *— Gavin M.* [Read full review](https://www.g2.com/survey_responses/hurree-review-12533440) --- **"[Hurree brought structure and focus to our performance monitoring](https://www.g2.com/survey_responses/hurree-review-12358678)"** **Rating:** 5.0/5.0 stars *— Hayley C.* [Read full review](https://www.g2.com/survey_responses/hurree-review-12358678) --- ### 9. [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews) ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot. **Average Rating:** 4.4/5.0 **Total Reviews:** 326 **How Do G2 Users Rate ThoughtSpot?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind ThoughtSpot?** - **Seller:** [ThoughtSpot](https://www.g2.com/sellers/thoughtspot) - **Company Website:** https://www.thoughtspot.com - **Year Founded:** 2012 - **HQ Location:** Mountain View, CA - **Twitter:** @thoughtspot (10,975 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2647843/ (1,738 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Enterprise, 42% Mid-Market #### What Are ThoughtSpot's Pros and Cons? **Pros:** - Ease of Use (63 reviews) - Insights (43 reviews) - Analytics (31 reviews) - Intuitive (23 reviews) - Data Visualization (21 reviews) **Cons:** - Learning Curve (23 reviews) - Missing Features (13 reviews) - Learning Difficulty (8 reviews) - Complexity (7 reviews) - Limited Customization (7 reviews) ### What Do G2 Reviewers Say About ThoughtSpot? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of ThoughtSpot, making data insights accessible even for the inexperienced. - Users value the **real-time insights** from ThoughtSpot, enhancing organizational growth through accurate data analysis and AI analytics. - Users value the **comprehensive analytics** of ThoughtSpot, enabling in-depth data exploration and timely insights for better decision-making. - Users value the **intuitive search-based interface** of ThoughtSpot, making data exploration easy for everyone. - Users praise the **flexible data visualization** capabilities of ThoughtSpot, making analysis accessible and understandable. **Cons:** - Users note a **steep learning curve** for mastering ThoughtSpot's features, especially for those new to analytics. - Users find **missing features** in ThoughtSpot, such as limited AI capabilities and non-reusable report components frustrating. - Users note a **learning difficulty** with ThoughtSpot's advanced features, requiring time and support for effective use. - Users find the **complex setup and configuration** challenging, particularly with large data sets in ThoughtSpot. - Users note the **limited customization** of ThoughtSpot, especially in search visualization, which can hinder personalized experiences. #### What Are Recent G2 Reviews of ThoughtSpot? **"[Easy-to-Navigate Search with Powerful Filters and Helpful AI Query Tweaks](https://www.g2.com/survey_responses/thoughtspot-review-13035404)"** **Rating:** 4.0/5.0 stars *— Verified User in Leisure, Travel & Tourism* [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-13035404) --- **"[ThoughtSpot is one of the best tools on the market](https://www.g2.com/survey_responses/thoughtspot-review-12910262)"** **Rating:** 4.0/5.0 stars *— Murugan M.* [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-12910262) --- #### What Are G2 Users Discussing About ThoughtSpot? - [What is ThoughtSpot used for?](https://www.g2.com/discussions/thoughtspot-what-is-thoughtspot-used-for) - [What does ThoughtSpot do?](https://www.g2.com/discussions/what-does-thoughtspot-do) - 1 comment - [Is ThoughtSpot a public company?](https://www.g2.com/discussions/is-thoughtspot-a-public-company) - [What is ThoughtSpot used for?](https://www.g2.com/discussions/what-is-thoughtspot-used-for) - [What is ThoughtSpot software?](https://www.g2.com/discussions/what-is-thoughtspot-software) ### 10. [Omni Analytics](https://www.g2.com/products/omni-analytics-inc-omni-analytics/reviews) Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that ensures every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to their customers. We build our product fast and in the open, with new features releasing every week. You can follow along by watching our public engineering demos at: omni.co/demos To learn more about how companies like BuzzFeed use Omni, check out: omni.co/customer-case-studies **Average Rating:** 4.8/5.0 **Total Reviews:** 65 **How Do G2 Users Rate Omni Analytics?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.1/10 (Category avg: 8.5/10) **Who Is the Company Behind Omni Analytics?** - **Seller:** [Omni Analytics, Inc](https://www.g2.com/sellers/omni-analytics-inc) - **Company Website:** https://omni.co/ - **Year Founded:** 2022 - **HQ Location:** San Francisco, CA - **Twitter:** @omni (4,282 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/exploreomni/ (805 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 42% Mid-Market, 42% Small-Business #### What Are Omni Analytics's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Customer Support (10 reviews) - Easy Integrations (8 reviews) - Innovation (8 reviews) - Data Visualization (7 reviews) **Cons:** - Missing Features (8 reviews) - Learning Curve (5 reviews) - Limited Features (4 reviews) - Complex Data Modeling (3 reviews) - Difficult Setup (3 reviews) ### What Do G2 Reviewers Say About Omni Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in Omni Analytics, enjoying seamless integrations and intuitive dashboard features. - Users commend the **helpful customer support** at Omni Analytics, consistently assisting with inquiries and enhancing the experience. - Users praise the **easy integrations** of Omni Analytics, allowing seamless connections with their modern data stack. - Users commend the **innovative AI features** of Omni Analytics, enhancing user experience and efficiency dramatically. - Users love the **easy data exploration and dashboard building** capabilities of Omni Analytics, enhancing analytics experiences significantly. **Cons:** - Users note **missing features** in Omni Analytics, highlighting the need for robust capabilities compared to established tools. - Users experience a **steep learning curve** with Omni Analytics, often struggling with delayed documentation and feature updates. - Users note **limited features** as Omni Analytics is still evolving, lacking parity with more established tools. - Users find the **complex data modeling** in Omni Analytics to be challenging, impacting navigation and stability of dashboards. - Users find the **difficult setup** process for topics to be the most challenging aspect of Omni Analytics. #### What Are Recent G2 Reviews of Omni Analytics? **"[Easy, Actionable Insights That Deepen Our Understanding of Company Performance](https://www.g2.com/survey_responses/omni-analytics-review-12607647)"** **Rating:** 5.0/5.0 stars *— Daryl W.* [Read full review](https://www.g2.com/survey_responses/omni-analytics-review-12607647) --- **"[Omni Packs Essential Features with an Intuitive UI and Standout AI Charts](https://www.g2.com/survey_responses/omni-analytics-review-12583000)"** **Rating:** 4.5/5.0 stars *— Rohit S.* [Read full review](https://www.g2.com/survey_responses/omni-analytics-review-12583000) --- ### 11. [Toucan](https://www.g2.com/products/toucan/reviews) Toucan is an AI-embedded analytics platform designed to assist independent software vendors (ISVs) and SaaS companies in integrating advanced analytics features directly into their products, eliminating the need for building these capabilities from the ground up. This platform is tailored specifically for customer-facing applications, meaning that the end users are the clients of these companies rather than internal analysts. By enabling product and operations teams to configure and deploy analytics features independently, Toucan streamlines the development process and reduces reliance on data engineering resources. The target audience for Toucan primarily includes ISVs and SaaS companies across various industries, such as fintech, HR tech, and marketing technology. These organizations often seek to enhance their product offerings with sophisticated analytics capabilities that provide value to their users. With Toucan, product teams can quickly implement features that allow end users to interact with data in meaningful ways. This is particularly beneficial for companies looking to differentiate themselves in competitive markets by offering robust analytics without the lengthy development cycles typically associated with such features. Toucan's key capabilities include conversational AI analytics, which empowers end users to pose questions in natural language and receive instant data visualizations. This feature is anchored in a governed semantic layer, ensuring that the insights provided are consistent and reliable. Additionally, the platform offers automatic dashboard generation through AI, allowing users to customize layouts, colors, and metrics without requiring technical expertise. The white-label, multi-tenant embedding options ensure that analytics seamlessly integrate into existing products, creating a native experience for users. Security and compliance are paramount in today's data-driven landscape, and Toucan addresses these concerns with row-level security and granular permissions. This ensures that each end user only accesses their specific data, making it suitable for regulated industries where data privacy is critical. Furthermore, Toucan supports connections to modern data infrastructures, such as PostgreSQL, MySQL, and AWS Redshift, and offers both SaaS and self-hosted deployment options to meet various organizational needs. The platform's no-code builder is a standout feature, enabling product and operations teams to create, edit, and publish dashboards without any coding knowledge. This capability significantly reduces dashboard development time—by up to two-thirds compared to traditional in-house builds—allowing ISVs to launch reporting modules in days instead of months. By embedding analytics as a premium feature, organizations can also create new revenue streams, enhancing their overall product value while minimizing additional development overhead. With over 350 clients already leveraging its capabilities, Toucan is positioned as a powerful solution for companies looking to enhance their analytics offerings. **Average Rating:** 4.7/5.0 **Total Reviews:** 179 **How Do G2 Users Rate Toucan?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Toucan?** - **Seller:** [Toucan Toco](https://www.g2.com/sellers/toucan-toco) - **Year Founded:** 2015 - **HQ Location:** Boston, Massachusetts - **Twitter:** @Toucan_Toco (2,402 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3661933/ (76 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst - **Top Industries:** Computer Software, Banking - **Company Size:** 43% Small-Business, 30% Mid-Market #### What Are Toucan's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Easy Integrations (8 reviews) - Data Visualization (7 reviews) - Integrations (7 reviews) - Insights (6 reviews) **Cons:** - Complexity (2 reviews) - Complex Usage (2 reviews) - Learning Curve (2 reviews) - Limited Customization (2 reviews) - Bugs (1 reviews) ### What Do G2 Reviewers Say About Toucan? *AI-generated summary from verified user reviews* **Pros:** - Users find Toucan to be **extremely easy to use** , facilitating quick integration and effective data visualization. - Users value the **easy integrations** of Toucan, simplifying the addition of diverse data sources into existing systems. - Users praise Toucan for its **intuitive data visualization capabilities** and seamless integration with existing tech ecosystems. - Users value Toucan's **flexible integrations** with various data sources, facilitating seamless dashboard creation and management. - Users appreciate the **no-code dashboard creation** of Toucan, making data visualization and integration seamless and straightforward. **Cons:** - Users find the **complexity of the UI** challenging, especially for new users navigating the tool independently. - Users find the **complex usage** of Toucan challenging, particularly for new users navigating its interface. - Users find a **steep learning curve** with Toucan, as navigating the complex UI can be challenging for newcomers. - Users note the **limited customization** options in Toucan, which can restrict flexibility in data visualization presentations. - Users report encountering **occasional bugs** with Toucan, leading to increased maintenance costs and some learning curve for development. #### What Are Recent G2 Reviews of Toucan? **"[The game-changer to turn our data into actionable insights](https://www.g2.com/survey_responses/toucan-review-10931373)"** **Rating:** 5.0/5.0 stars *— Robin C.* [Read full review](https://www.g2.com/survey_responses/toucan-review-10931373) --- **"[An Amazing Tool For Embedded Business Intelligence](https://www.g2.com/survey_responses/toucan-review-12302095)"** **Rating:** 4.5/5.0 stars *— Felice C.* [Read full review](https://www.g2.com/survey_responses/toucan-review-12302095) --- #### What Are G2 Users Discussing About Toucan? - [What is Toucan used for?](https://www.g2.com/discussions/what-is-toucan-used-for) ### 12. [Visier](https://www.g2.com/products/visier/reviews) Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com. **Average Rating:** 4.6/5.0 **Total Reviews:** 219 **How Do G2 Users Rate Visier?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.7/10 (Category avg: 8.4/10) - **Reports Interface:** 9.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Visier?** - **Seller:** [Visier](https://www.g2.com/sellers/visier-8c589666-edc0-409b-b9fb-0df31e55c335) - **Year Founded:** 2010 - **HQ Location:** Vancouver, British Columbia - **Twitter:** @visier (6,164 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/visier-analytics/ (555 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Hospital & Health Care, Information Technology and Services - **Company Size:** 82% Enterprise, 17% Mid-Market #### What Are Visier's Pros and Cons? **Pros:** - Ease of Use (25 reviews) - Data Analysis (22 reviews) - Insights (19 reviews) - Data Visualization (18 reviews) - Time-saving (18 reviews) **Cons:** - Learning Difficulty (12 reviews) - Expensive (11 reviews) - Learning Curve (8 reviews) - Complexity (7 reviews) - Limited Customization (7 reviews) ### What Do G2 Reviewers Say About Visier? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Visier, appreciating its self-service platform and supportive team. - Users value the **powerful data analysis** capabilities of Visier, enabling seamless insights from diverse data sources. - Users value the **quick data integration and insightful metrics** from Visier, enhancing decision-making and organizational health. - Users appreciate the **data visualization capabilities** of Visier, enabling quick insights without complex dashboard setups. - Users value the **time-saving capabilities** of Visier, enabling quick data ingestion and streamlined analytics for better insights. **Cons:** - Users find **learning difficulty** in mastering Visier's interface and company-specific metrics, often needing team assistance. - Users find Visier to be **expensive** , limiting full adoption and hindering satisfaction with essential features and data access. - Users find the **steep learning curve** challenging, especially when adapting to new data analytics tools. - Users find the **complexity of customization** in Visier challenging, especially for users transitioning from more flexible tools. - Users find **limited customization** options in Visier, especially compared to more flexible tools like Tableau and Power BI. #### What Are Recent G2 Reviews of Visier? **"[Great Analytics tool!](https://www.g2.com/survey_responses/visier-review-11724107)"** **Rating:** 4.0/5.0 stars *— Verified User in Food & Beverages* [Read full review](https://www.g2.com/survey_responses/visier-review-11724107) --- **"[Great tool to support people analytics functions](https://www.g2.com/survey_responses/visier-review-11716065)"** **Rating:** 4.5/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/visier-review-11716065) --- #### What Are G2 Users Discussing About Visier? - [Is Visier cloud based?](https://www.g2.com/discussions/is-visier-cloud-based) - 1 comment - [What is visier service portal?](https://www.g2.com/discussions/what-is-visier-service-portal) - [Is visier a good company?](https://www.g2.com/discussions/is-visier-a-good-company) - [What is visier used for?](https://www.g2.com/discussions/what-is-visier-used-for) ### 13. [TARGIT Decision Suite](https://www.g2.com/products/targit-targit-decision-suite/reviews) TARGIT brings expertise to key verticals to help their customers make data-driven decisions. They drive lasting value with business intelligence (BI) and analytics solutions that support your unique goals and the processes that power your day-to-day operations. Experience love at first sight with TARGIT Decision Suite, their all-in-one business intelligence (BI) and analytics platform that's intuitive, versatile, and accessible for every employee. TARGIT Decision Suite helps companies integrate, visualize, and share data better and faster than ever before. Their solution combines the control of a centralized BI solution with the flexibility of a decentralized solution, with robust security and dependability. Plus, it easily integrates with your existing systems and continually adapts to your needs, even as your organization grows. Recognized as a Global Leader in Vendor Credibility by Dresner three years in a row and Leader in BI Excellence by BARC eight years in a row, TARGIT prides itself on supporting our customers through continuous innovation, insightful recommendations, and a people-first business model. **Average Rating:** 4.2/5.0 **Total Reviews:** 17 **How Do G2 Users Rate TARGIT Decision Suite?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.8/10 (Category avg: 8.5/10) **Who Is the Company Behind TARGIT Decision Suite?** - **Seller:** [Targit](https://www.g2.com/sellers/targit) - **Year Founded:** 1986 - **HQ Location:** Aalborg, Denmark - **LinkedIn® Page:** https://www.linkedin.com/company/30005/ (109 employees on LinkedIn®) - **Phone:** 813-933-4600 **Who Uses This Product?** - **Company Size:** 53% Mid-Market, 29% Enterprise #### What Are Recent G2 Reviews of TARGIT Decision Suite? **"[Efficient Navigation: Real-Time Metrics and Microsoft Dynamics Integration.](https://www.g2.com/survey_responses/targit-decision-suite-review-9208576)"** **Rating:** 4.5/5.0 stars *— Dhvani S.* [Read full review](https://www.g2.com/survey_responses/targit-decision-suite-review-9208576) --- **"[Good for reports, not great for 24x7 dashboards](https://www.g2.com/survey_responses/targit-decision-suite-review-7994841)"** **Rating:** 4.5/5.0 stars *— Antonello C.* [Read full review](https://www.g2.com/survey_responses/targit-decision-suite-review-7994841) --- ### 14. [Cube](https://www.g2.com/products/cube-2023-07-31/reviews) Cube Cloud is a universal semantic layer that makes it easy to connect siloed data and create consistent metrics that are accessible to any data consumer–AI, BI, spreadsheets, and embedded analytics. The solution provides unmatched integrations and interoperability, supporting a robust set of deployment options, data connectivity, coding languages, and native APIs so that you can build solutions to fit your unique requirements on the modern data stack. With Cube Cloud, business data becomes consistent, accurate, easy to access, and most importantly, trusted. Data engineers and application developers use Cube Cloud’s code-first, developer-oriented platform to: - Organize and govern data from cloud data warehouses into centralized, consistent, and reusable data models and business definitions. - Apply software engineering best practices and processes to data management: CI/CD, isolated environments, and version control with Git integration. - Use intelligent capabilities like data model code generation and front-end embedded analytics code generation to increase productivity. - Optimize query performance and save on cloud data usage with pre-aggregation caching capabilities. - Deliver data to any downstream tool via data APIs: SQL, REST, GraphQL, AI, and MDX. Cube accelerates trusted data-driven decisions, delivering better experiences to employees inside the organization, customers outside the organization, and even machines with our native OpenAI integrations. Build Generative AI experiences with the AI API. For internal BI use cases, Cube Cloud provides a semantic catalog and Generative AI capabilities to simplify discovery, exploration, and access to modeled data and downstream, connected BI content for data analysts and business users. You can add unlimited named user accounts to allow anyone to search and reuse trusted data products and perform natural language queries in a simplified, business user-friendly interface. **Average Rating:** 4.5/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Cube?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.9/10 (Category avg: 8.4/10) - **Reports Interface:** 9.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Cube?** - **Seller:** [Cube](https://www.g2.com/sellers/cube-637927e0-6501-4673-89d8-4d5ecadb4f96) - **Year Founded:** 2019 - **HQ Location:** San Francisco, CA - **Twitter:** @the_cube_dev (2,215 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cube-dev/ (47 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 52% Small-Business, 37% Mid-Market #### What Are Cube's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Customization (4 reviews) - Powerful BI (4 reviews) - Customer Support (3 reviews) - Flexibility (3 reviews) **Cons:** - Missing Features (4 reviews) - Bugs (3 reviews) - Data Integration (2 reviews) - Limited Features (2 reviews) - Software Bugs (2 reviews) ### What Do G2 Reviewers Say About Cube? *AI-generated summary from verified user reviews* **Pros:** - Users praise Cube for its **ease of use** , simplifying development and maintenance for small teams without DevOps support. - Users love the **flexibility and customization** Cube offers for tailored embedded analytic applications, enhancing development speed. - Users value Cube's **powerful BI capabilities** , enabling scalable, composable metrics and fast data querying for analytics. - Users commend the **fast and proactive customer support** of Cube, enhancing the overall user experience significantly. - Users value the **flexibility** of CubeJS, making it easy to customize and integrate data applications seamlessly. **Cons:** - Users feel that Cube lacks **essential features** like seamless BI tool integration and a more comprehensive semantic layer. - Users report encountering **bugs and confusing documentation** in Cube, hindering their experience and scalability efforts. - Users find **data integration challenging** , citing difficulties with BI tool connections and complex query aggregations. - Users find Cube to have **limited features** , lacking essential tools like data visualization and comprehensive documentation. - Users report experiencing **software bugs** that cause confusion and complicate interactions with Cube's functionality and features. #### What Are Recent G2 Reviews of Cube? **"[Super Easy Access to the DEV team](https://www.g2.com/survey_responses/cube-review-11700913)"** **Rating:** 5.0/5.0 stars *— Verified User in Real Estate* [Read full review](https://www.g2.com/survey_responses/cube-review-11700913) --- **"[Great for AI applications and general data apps!](https://www.g2.com/survey_responses/cube-review-10751001)"** **Rating:** 4.5/5.0 stars *— Verified User in Commercial Real Estate* [Read full review](https://www.g2.com/survey_responses/cube-review-10751001) --- ### 15. [OWOX](https://www.g2.com/products/owox/reviews) OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you! **Average Rating:** 4.9/5.0 **Total Reviews:** 290 **How Do G2 Users Rate OWOX?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 5.0/10 (Category avg: 8.4/10) - **Reports Interface:** 5.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind OWOX?** - **Seller:** [OWOX](https://www.g2.com/sellers/owox) - **Year Founded:** 2002 - **HQ Location:** WALNUT, California - **Twitter:** @owox (435 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1721152/ (68 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Chief Marketing Officer, CEO - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 48% Small-Business, 43% Mid-Market #### What Are OWOX's Pros and Cons? **Pros:** - Ease of Use (21 reviews) - Helpful (15 reviews) - Data Management (14 reviews) - Customer Support (13 reviews) - Analytics (7 reviews) **Cons:** - Data Management Issues (4 reviews) - Error Handling (3 reviews) - Expensive (2 reviews) - Integration Issues (2 reviews) - Lack of Information (2 reviews) ### What Do G2 Reviewers Say About OWOX? *AI-generated summary from verified user reviews* **Pros:** - Users find OWOX to be **easy to use** , allowing quick data exports and effortless report generation. - Users value the **excellent support team** of OWOX, ensuring effective communication and swift problem resolution. - Users value the **transparency and accessibility** of OWOX Data Management, enhancing data ownership and business flexibility. - Users commend the **excellent customer support** of OWOX, highlighting prompt and expert assistance for all inquiries. - Users value the **accurate user behavior tracking** of OWOX, enhancing data-driven marketing strategies and insights. **Cons:** - Users report significant **data management issues** , including errors in updates and limitations in schedule adjustments. - Users report **inadequate error handling** in OWOX, leading to delays in data error detection and management challenges. - Users find the pricing structure **expensive** , wishing for lower costs to enhance their overall experience. - Users point out the need for improved **integration with third-party apps** to enhance the overall experience. - Users seek more **video instructions** and updated information to enhance their experience with OWOX. #### What Are Recent G2 Reviews of OWOX? **"[Nice team and Tracking & Attribution Solution](https://www.g2.com/survey_responses/owox-review-9851467)"** **Rating:** 4.5/5.0 stars *— Serhii K.* [Read full review](https://www.g2.com/survey_responses/owox-review-9851467) --- **"[Simple and helpful](https://www.g2.com/survey_responses/owox-review-9843178)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/owox-review-9843178) --- #### What Are G2 Users Discussing About OWOX? - [What is OWOX BI used for?](https://www.g2.com/discussions/what-is-owox-bi-used-for) - 1 comment ### 16. [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews) 🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Built for complex enterprises, it unifies business intelligence, advanced analytics, and governed data modeling into a single, open platform. With native AI-powered workflows, pixel-perfect dashboards, modern self-service tools, and seamless integrations with Excel, Power BI, and Tableau, Strategy One delivers trusted insights wherever decisions are made. Why Strategy One? Unlike fragmented BI stacks or limited legacy tools, Strategy One provides an end-to-end platform with one trusted semantic core. Business users get governed self-service. Analysts get powerful modeling tools. Executives get real-time answers they can trust. And IT retains full control over data access, definitions, and lineage. Whether you’re creating executive dashboards, deploying embedded analytics, scaling AI copilots, or consolidating BI tools—Strategy One meets the moment with: ✅ Cloud-native architecture ✅ Open integrations with 200+ data sources ✅ Enterprise-grade security and governance ✅ Industry-leading performance and scale ✅ Built-in support for AI copilots, agents, and models Strategy One is trusted by global enterprises in banking, retail, healthcare, and government to turn data into decisions—fast, securely, and at scale. **Average Rating:** 4.2/5.0 **Total Reviews:** 529 **How Do G2 Users Rate Strategy One (formerly MicroStrategy ONE)?** - **Has the product been a good partner in doing business?:** 7.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.2/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Strategy One (formerly MicroStrategy ONE)?** - **Seller:** [Strategy (formerly MicroStrategy)](https://www.g2.com/sellers/strategy-formerly-microstrategy) - **Company Website:** https://www.strategy.com/software - **Year Founded:** 1989 - **HQ Location:** Tysons Corner, VA - **Twitter:** @MicroStrategy (303,456 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/strategy/ (3,457 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Manager, Business Intelligence Developer - **Top Industries:** Retail, Financial Services - **Company Size:** 62% Enterprise, 29% Mid-Market #### What Are Strategy One (formerly MicroStrategy ONE)'s Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Innovation (7 reviews) - Easy Setup (6 reviews) - Customization (4 reviews) - Dashboard Customization (4 reviews) **Cons:** - Learning Difficulty (5 reviews) - Learning Curve (4 reviews) - Missing Features (4 reviews) - Complex Usage (3 reviews) - Access Restrictions (2 reviews) ### What Do G2 Reviewers Say About Strategy One (formerly MicroStrategy ONE)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Strategy One, facilitating quick insights and efficient data analysis. - Users admire the **commitment to innovation** in Strategy One, appreciating the consistent enhancements that surpass expectations. - Users find the **easy setup** of Strategy One to be effective for new users and reporting needs. - Users value the **customization options** of Strategy One, enhancing report creation and dashboard flexibility for their needs. - Users appreciate the **flexible dashboard customization** of Strategy One, enabling easy data access and insightful reporting. **Cons:** - Users find the **learning difficulty** daunting, feeling overwhelmed by the complex software and insufficient training support. - Users find the **steep learning curve** of Strategy One challenging, requiring time to become comfortable with the product. - Users find **missing features** in Strategy One, specifically noting inadequate Copilot integration compared to competitors like Power BI. - Users find the **complex usage** of Strategy One overwhelming, resulting in a steep learning curve and navigation challenges. - Users note that **access restrictions** make the product less readily available, limiting customization and whitelabeling options. #### What Are Recent G2 Reviews of Strategy One (formerly MicroStrategy ONE)? **"[Scalable, Enterprise-Ready BI with Strong Governance and Reliable Performance](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962)"** **Rating:** 5.0/5.0 stars *— Carlos G.* [Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12406962) --- **"[Empowers Data Accessibility, with Minor Transition Hiccups](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688)"** **Rating:** 4.0/5.0 stars *— Van V. T.* [Read full review](https://www.g2.com/survey_responses/strategy-one-formerly-microstrategy-one-review-12417688) --- #### What Are G2 Users Discussing About Strategy One (formerly MicroStrategy ONE)? - [What is MicroStrategy used for?](https://www.g2.com/discussions/what-is-microstrategy-used-for) - [What is the difference between tableau and MicroStrategy?](https://www.g2.com/discussions/what-is-the-difference-between-tableau-and-microstrategy) - [How much does MicroStrategy cost?](https://www.g2.com/discussions/how-much-does-microstrategy-cost) - 1 comment - [Why is MicroStrategy used?](https://www.g2.com/discussions/why-is-microstrategy-used) - [What is MicroStrategy software?](https://www.g2.com/discussions/what-is-microstrategy-software) ### 17. [SAS Visual Analytics](https://www.g2.com/products/sas-visual-analytics/reviews) SAS® Visual Analytics is a single application for reporting, data exploration and analytics that empowers everyone to easily discover and share powerful insights. **Average Rating:** 4.4/5.0 **Total Reviews:** 207 **How Do G2 Users Rate SAS Visual Analytics?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.6/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind SAS Visual Analytics?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Who Uses This:** Student - **Top Industries:** Banking, Higher Education - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are SAS Visual Analytics's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Integrations (4 reviews) - Data Analysis (3 reviews) - Data Visualization (3 reviews) - Charting Features (2 reviews) **Cons:** - Slow Performance (3 reviews) - Expensive (2 reviews) - Bugs (1 reviews) - Complexity (1 reviews) - Complexity Issues (1 reviews) ### What Do G2 Reviewers Say About SAS Visual Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users find SAS Visual Analytics to have a **user-friendly interface** , making data exploration accessible for everyone. - Users appreciate the **seamless integration** of SAS Visual Analytics with various data sources, enhancing their analytical workflow. - Users find SAS Visual Analytics **easy to use for data exploration and insightful dashboard creation** , enhancing their analysis experience. - Users value the **dynamic data visualization features** of SAS Visual Analytics for presenting insights effortlessly. - Users appreciate the **dynamic charting features** of SAS Visual Analytics, enabling effortless visual data exploration and insight sharing. **Cons:** - Users experience **slow performance** with SAS Visual Analytics, particularly with large datasets and complex reports in cloud settings. - Users find the **expensive pricing** of SAS Visual Analytics to be a significant barrier for many businesses. - Users report **bugs and integration difficulties** with other programming languages, hindering seamless functionality in SAS Visual Analytics. - Users find the **complexity** of SAS Visual Analytics challenging, suggesting a need for a more user-friendly interface. - Users find the **interface complexity** challenging, suggesting a need for a more user-friendly design. #### What Are Recent G2 Reviews of SAS Visual Analytics? **"[Ease of Use and Powerful Display](https://www.g2.com/survey_responses/sas-visual-analytics-review-12707936)"** **Rating:** 4.0/5.0 stars *— Elisa L.* [Read full review](https://www.g2.com/survey_responses/sas-visual-analytics-review-12707936) --- **"[Fast and Efficient Data Transformation](https://www.g2.com/survey_responses/sas-visual-analytics-review-12713877)"** **Rating:** 5.0/5.0 stars *— Francisco Javier R.* [Read full review](https://www.g2.com/survey_responses/sas-visual-analytics-review-12713877) --- #### What Are G2 Users Discussing About SAS Visual Analytics? - [What is SAS Add-In for Microsoft Office 365 used for?](https://www.g2.com/discussions/what-is-sas-add-in-for-microsoft-office-365-used-for) - 1 comment - [What is SAS Visual Text analytics?](https://www.g2.com/discussions/what-is-sas-visual-text-analytics) - 3 comments - [What are the components of Visual Analytics?](https://www.g2.com/discussions/what-are-the-components-of-visual-analytics) - 2 comments - [How does SAS Visual Analytics work?](https://www.g2.com/discussions/how-does-sas-visual-analytics-work) - 1 comment - [What can SAS Visual Analytics do?](https://www.g2.com/discussions/what-can-sas-visual-analytics-do) - 1 comment ### 18. [Qrvey](https://www.g2.com/products/qrvey/reviews) Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value. Qrvey is the only embedded analytics solution that includes an analytics layer to connect your data warehouse to your front-end analytics. Qrvey’s approach is different. By including a native data lake, you can scale personalized analytics that your customers will love. All while giving your development team the tools to ship faster and build less. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Qrvey?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.2/10 (Category avg: 8.4/10) - **Reports Interface:** 7.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Qrvey?** - **Seller:** [Qrvey](https://www.g2.com/sellers/qrvey) - **Year Founded:** 2016 - **HQ Location:** Tysons, Virginia - **Twitter:** @qrvey (463 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/qrvey/ (68 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 55% Small-Business, 38% Mid-Market #### What Are Qrvey's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Analytics (5 reviews) - Automation (4 reviews) - Efficiency (4 reviews) - User Interface (4 reviews) **Cons:** - Learning Curve (5 reviews) - Complex Usage (2 reviews) - Confusing Pricing (2 reviews) - Customization Difficulty (2 reviews) - Expensive (2 reviews) ### What Do G2 Reviewers Say About Qrvey? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Qrvey, appreciating its no-code setup for streamlined data analytics. - Users appreciate the **all-in-one embedded analytics** of Qrvey, streamlining data processes without heavy coding. - Users value Qrvey for its **no-code automation** , streamlining analytics and enhancing integration for SaaS applications. - Users benefit from Qrvey's **remarkable efficiency** in facilitating faster decision-making and comprehensive data analysis. - Users commend Qrvey for its **intuitive interface** that simplifies embedding analytics and enhances data visibility efficiently. **Cons:** - Users experience a **challenging learning curve** with Qrvey, especially for newcomers and simpler use cases. - Users find the **complex usage** challenging, particularly for advanced functionality and initial learning curves. - Users find **pricing confusing** , making budgeting and planning for Qrvey's services more challenging than expected. - Users struggle with **customization difficulty** , requiring technical knowledge and facing challenges during setup and bug fixing. - Users find Qrvey to be **expensive** , especially due to non-transparent pricing that complicates budgeting and planning. #### What Are Recent G2 Reviews of Qrvey? **"[Qrvey: Deliver More Analytics with Less Engineering Effort](https://www.g2.com/survey_responses/qrvey-review-12387542)"** **Rating:** 5.0/5.0 stars *— Shabuddin G.* [Read full review](https://www.g2.com/survey_responses/qrvey-review-12387542) --- **"[Empowers Decisions with Comprehensive Data Tools](https://www.g2.com/survey_responses/qrvey-review-11978512)"** **Rating:** 5.0/5.0 stars *— Antoneta Valerie B.* [Read full review](https://www.g2.com/survey_responses/qrvey-review-11978512) --- #### What Are G2 Users Discussing About Qrvey? - [What is Qrvey used for?](https://www.g2.com/discussions/what-is-qrvey-used-for) ### 19. [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](- https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D) **Average Rating:** 4.4/5.0 **Total Reviews:** 763 **How Do G2 Users Rate Qlik Sense?** - **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:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Qlik Sense?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Who Uses This:** Consultant, Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 41% Mid-Market #### What Are Qlik Sense's Pros and Cons? **Pros:** - Ease of Use (55 reviews) - Data Visualization (31 reviews) - Analytics (28 reviews) - Insights Discovery (24 reviews) - Features (22 reviews) **Cons:** - Limited Features (17 reviews) - Missing Features (16 reviews) - Expensive (14 reviews) - Data Management (13 reviews) - Learning Curve (13 reviews) ### What Do G2 Reviewers Say About Qlik Sense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Qlik Sense, making data visualization and integration effortlessly efficient. - Users appreciate the **robust data visualization capabilities** of Qlik Sense, enabling them to create complex visuals effortlessly. - Users appreciate the **quick creation and deployment of analytics applications** with Qlik Sense, making reporting seamless and efficient. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and supporting effective decision-making. - Users value the **robust tools and versatility** of Qlik Sense for efficient data integration and insightful analytics. **Cons:** - Users find the **limited features** of Qlik Sense hinder their ability to create diverse visualizations effectively. - Users miss the **ability to add personal objects** in Qlik Sense SaaS, as compared to the on-premise version. - Users find Qlik Sense **very expensive** , making it a less accessible option for some businesses. - Users note the **limited automation in data management** and desire better organization for enhanced visualization capabilities. - Users find the **learning curve steep** due to the complexity of functions and integration challenges. #### What Are Recent G2 Reviews of Qlik Sense? **"[Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model](https://www.g2.com/survey_responses/qlik-sense-review-12963425)"** **Rating:** 4.5/5.0 stars *— Suman K.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425) --- **"[Visually Stunning, Excel-Like Ease on Web](https://www.g2.com/survey_responses/qlik-sense-review-12727600)"** **Rating:** 4.0/5.0 stars *— Adnan J.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600) --- #### What Are G2 Users Discussing About Qlik Sense? - [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for) - [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for) - [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment - [Is qlik sense good?](https://www.g2.com/discussions/is-qlik-sense-good) - 1 comment - [What can qlik sense do?](https://www.g2.com/discussions/what-can-qlik-sense-do) - 1 comment ### 20. [Plotly Dash Enterprise](https://www.g2.com/products/plotly-dash-enterprise/reviews) Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required. **Average Rating:** 4.8/5.0 **Total Reviews:** 36 **How Do G2 Users Rate Plotly Dash Enterprise?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (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 Plotly Dash Enterprise?** - **Seller:** [Plotly](https://www.g2.com/sellers/plotly) - **Year Founded:** 2013 - **HQ Location:** Montréal, CA - **Twitter:** @plotlygraphs (41,308 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3327684/ (105 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 47% Small-Business, 31% Enterprise #### What Are Plotly Dash Enterprise's Pros and Cons? **Pros:** - Charting Features (1 reviews) - Coding Ease (1 reviews) - Customer Support (1 reviews) - Dashboard Management (1 reviews) - Data Visualization (1 reviews) ### What Do G2 Reviewers Say About Plotly Dash Enterprise? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy-to-use charting features** of Plotly Dash Enterprise, enabling beautiful visualizations without coding. - Users value the **coding ease** of Plotly Dash Enterprise, allowing for seamless creation of visualizations effortlessly. - Users value the **exceptional customer support** from Plotly Dash Enterprise, enhancing their experience and satisfaction significantly. - Users value the **easy dashboard management** of Plotly Dash Enterprise, enabling efficient and beautiful visualizations effortlessly. - Users appreciate the **easy and beautiful data visualizations** in Plotly Dash Enterprise, enhancing their reporting capabilities effortlessly. #### What Are Recent G2 Reviews of Plotly Dash Enterprise? **"[Its the perfect Data Management](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270)"** **Rating:** 4.5/5.0 stars *— Maria F.* [Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-10698270) --- **"[Dash Dominance in Creating Interactive Web Apps for Your Data Insights](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756)"** **Rating:** 5.0/5.0 stars *— Uttam M.* [Read full review](https://www.g2.com/survey_responses/plotly-dash-enterprise-review-8889756) --- #### What Are G2 Users Discussing About Plotly Dash Enterprise? - [What are 3 benefits of a dashboard?](https://www.g2.com/discussions/dash-what-are-3-benefits-of-a-dashboard) - [What is the best dashboard software?](https://www.g2.com/discussions/dash-what-is-the-best-dashboard-software) - [How good is Dash?](https://www.g2.com/discussions/how-good-is-dash) - [What is the function of a dashboard?](https://www.g2.com/discussions/what-is-the-function-of-a-dashboard) ### 21. [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews) Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. **Average Rating:** 4.2/5.0 **Total Reviews:** 281 **How Do G2 Users Rate Zoho Analytics?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.4/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Zoho Analytics?** - **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Year Founded:** 1996 - **HQ Location:** Austin, TX - **Twitter:** @Zoho (137,880 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,766 employees on LinkedIn®) - **Phone:** +1 (888) 900-9646 **Who Uses This Product?** - **Who Uses This:** Director, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small-Business, 43% Mid-Market #### What Are Zoho Analytics's Pros and Cons? **Pros:** - Ease of Use (39 reviews) - Analytics (34 reviews) - Integrations (28 reviews) - Dashboard Usability (22 reviews) - Data Visualization (22 reviews) **Cons:** - Learning Curve (22 reviews) - Limited Customization (14 reviews) - Data Integration (10 reviews) - Integration Issues (10 reviews) - Missing Features (10 reviews) ### What Do G2 Reviewers Say About Zoho Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of Zoho Analytics, making navigation and customization effortless for everyone. - Users love the **seamless data integration** capabilities of Zoho Analytics, enabling comprehensive analysis from multiple sources effortlessly. - Users appreciate the **extensive integrations** of Zoho Analytics, seamlessly connecting with various data sources and enhancing usability. - Users value the **user-friendly dashboards** in Zoho Analytics, enabling easy customization and effective data tracking. - Users praise the **data visualization capabilities** of Zoho Analytics, enabling insightful analysis through intuitive dashboards and charts. **Cons:** - Users experience a **steep learning curve** with Zoho Analytics, especially for complex reports and advanced features. - Users find the **limited customization** options in Zoho Analytics restricts their ability to tailor reports effectively. - Users highlight the **limited data integration capabilities** of Zoho Analytics, impacting overall usability and functionality. - Users face **integration issues** with Zoho Analytics, limiting connections to external data sources and affecting overall usability. - Users find the **missing features** in Zoho Analytics limit its functionality and ease of use, especially for beginners. #### What Are Recent G2 Reviews of Zoho Analytics? **"[A Powerful, Data-Driven Dashboard Tool with Easy Multi-App Integration](https://www.g2.com/survey_responses/zoho-analytics-review-12870240)"** **Rating:** 5.0/5.0 stars *— Arpit S.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12870240) --- **"[Excellent Reporting with Zoho Analytics and Zoho Books Sync](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)"** **Rating:** 5.0/5.0 stars *— Abhinandan J.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12722454) --- #### What Are G2 Users Discussing About Zoho Analytics? - [What is Zoho Analytics used for?](https://www.g2.com/discussions/what-is-zoho-analytics-used-for) - 2 comments - [What is the use of Zoho?](https://www.g2.com/discussions/what-is-the-use-of-zoho) - 1 comment - [Is Zoho Analytics free?](https://www.g2.com/discussions/is-zoho-analytics-free) - 1 comment - [How does Zoho Analytics work?](https://www.g2.com/discussions/how-does-zoho-analytics-work) - [What are the features of Zoho?](https://www.g2.com/discussions/zoho-analytics-what-are-the-features-of-zoho) - 1 comment ### 22. [Savant Labs](https://www.g2.com/products/savant-labs/reviews) Savant is an AI automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed workflows, so teams can be more efficient without sacrificing accuracy, control, or compliance. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance is built in, not bolted on: Audit trail, data lineage, SOX controls, and role-based access are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered data automation: Automate any data task end to end — prep, blending, transformation, publishing, and alerting. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Deterministic workflow engine: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail and data lineage: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - User-friendly interface: No SQL, no code, no IT tickets. If your team can use Excel, they can build and run workflows in Savant. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing **Average Rating:** 4.7/5.0 **Total Reviews:** 50 **How Do G2 Users Rate Savant Labs?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.7/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Savant Labs?** - **Seller:** [Savant Labs](https://www.g2.com/sellers/savant-labs) - **Company Website:** https://www.savantlabs.io - **Year Founded:** 2021 - **HQ Location:** San Francisco, California - **LinkedIn® Page:** https://www.linkedin.com/company/savant-labs (61 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Logistics and Supply Chain - **Company Size:** 43% Enterprise, 39% Mid-Market #### What Are Savant Labs's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Customer Support (9 reviews) - User Interface (7 reviews) - Integrations (6 reviews) - Scalability (6 reviews) **Cons:** - Learning Curve (7 reviews) - Learning Difficulty (6 reviews) - Integration Issues (3 reviews) - Access Issues (2 reviews) - Data Management (2 reviews) ### What Do G2 Reviewers Say About Savant Labs? *AI-generated summary from verified user reviews* **Pros:** - Users find Savant Labs' **ease of use** invaluable, simplifying data analysis without the need for coding skills. - Users praise the **extremely positive and speedy customer support** of Savant Labs, enhancing their overall experience and satisfaction. - Users love the **intuitive and user-friendly interface** of Savant Labs, making data analytics accessible and efficient. - Users love the **easy integration** of Savant Labs, simplifying data connectivity with seamless setup and support. - Users value the **scalability** of Savant Labs, finding it easy to adapt and automate analyses with minimal effort. **Cons:** - Users find the **unique learning curve** of Savant Labs challenging, requiring practice and adaptation to master the platform. - Users note a **steep learning curve** for Savant Labs, requiring practice and resources to achieve fluency. - Users face **integration issues** with Savant Labs, struggling with data updates and tool compatibility, complicating analyses. - Users often face **access issues** with Savant Labs, struggling to log in and navigate complex features effectively. - Users experience **data management difficulties** with updates and refreshes, impacting workflow efficiency in Savant Labs. #### What Are Recent G2 Reviews of Savant Labs? **"[Faster close + auditors actually trust our process now](https://www.g2.com/survey_responses/savant-labs-review-12941283)"** **Rating:** 5.0/5.0 stars *— Lawrence M.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-12941283) --- **"[Automated sales tax reconciliation and significantly shortened month-end close](https://www.g2.com/survey_responses/savant-labs-review-12942104)"** **Rating:** 5.0/5.0 stars *— Marlene S.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-12942104) --- ### 23. [Equals](https://www.g2.com/products/equals/reviews) The next-generation spreadsheet. Equals is the fastest, most flexible way to measure and report on your SaaS business. Automate your reporting with precision. Analyze from the comfort of a spreadsheet. Powered by live data from Stripe, Salesforce, Hubspot, and your SQL database. ---- We all understand the power and value of data. Yet, amongst the explosion of new tools to help us make sense of it all, we invariably end up back in a spreadsheet. BI tools are inherently complex and one-size-fits-all solutions simply don't cut it. Why? The spreadsheet is the only tool that gives you the flexibility to match the specifics of your business. There's really nothing like it — a canvas on which you can play, move, touch, and feel data while building compounding, sophisticated analyses and reports. Yet, starting analyses in Excel and Sheets is painful. Your data always comes from somewhere else, you have to export it to a CSV, import it into your spreadsheet, and hope you didn't miss anything. And then keeping it up-to-date is the original pain times ten. At Equals, we're building a next-generation spreadsheet that works just like those that came before but is fit for this era of work. It's directly connected to your data and is as unconstrained and flexible as a spreadsheet. It's paired with BI-grade dashboards that are as quick and easy to create as a doc. Based in North America, we have been building software and companies for 10+ years at the likes of Intercom, Atlassian, Stripe, and Loom. We're backed by the best innovators and investors in Silicon Valley, including a16z and Craft Ventures. **Average Rating:** 4.8/5.0 **Total Reviews:** 39 **How Do G2 Users Rate Equals?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.8/10 (Category avg: 8.4/10) - **Reports Interface:** 9.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 9.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Equals?** - **Seller:** [Equals](https://www.g2.com/sellers/equals) - **Year Founded:** 2021 - **HQ Location:** US Remote - **Twitter:** @heyequals (3,799 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/equalshq/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO - **Top Industries:** Computer Software - **Company Size:** 85% Small-Business, 15% Mid-Market #### What Are Equals's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Setup Ease (5 reviews) - Efficiency (4 reviews) - Integrations (4 reviews) - Analysis (3 reviews) **Cons:** - Bugs (2 reviews) - Learning Curve (2 reviews) - Missing Features (2 reviews) - Complex Usage (1 reviews) - Copy-Paste Issues (1 reviews) ### What Do G2 Reviewers Say About Equals? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Equals, facilitating effortless data management and intuitive interactions. - Users praise the **easy implementation** of Equals, highlighting excellent support and guidance throughout the setup process. - Users commend the **efficiency** of Equals for seamless data manipulation, enhancing their reporting capabilities significantly. - Users love the **seamless integrations** of Equals, efficiently combining multiple data sources for comprehensive insights. - Users commend **workflow simplification** in Equals, valuing centralized data reporting and real-time updates for efficiency. **Cons:** - Users report **bugs and crashes** in Equals, particularly with large data sets and date formatting issues. - Users notice a **slight learning curve** with Equals, as the interface can be confusing for newcomers. - Users often find themselves missing **essential features** like filters, despite appreciating the team's responsiveness and updates. - Users find the **complex usage** of Equals challenging, particularly for beginners trying to navigate the interface. - Users frequently face **copy-paste issues** that hinder their experience and disrupt workflow efficiency. #### What Are Recent G2 Reviews of Equals? **"[One of the best tools for GTM Teams](https://www.g2.com/survey_responses/equals-review-12316749)"** **Rating:** 5.0/5.0 stars *— Badr E.* [Read full review](https://www.g2.com/survey_responses/equals-review-12316749) --- **"[Effortless CRM Data Analysis and Dashboard Creation](https://www.g2.com/survey_responses/equals-review-12082723)"** **Rating:** 4.0/5.0 stars *— Appu M.* [Read full review](https://www.g2.com/survey_responses/equals-review-12082723) --- ### 24. [Easy Insight](https://www.g2.com/products/easy-insight/reviews) Easy Insight provides affordable, easy to use SaaS business intelligence. Instant connections to other popular SaaS products such as Basecamp, Zendesk, and Salesforce come with prebuilt dashboards to get you up and running with immediate results. A simple report builder helps you quickly adjust or create any new reports from scratch in a variety of visualizations. When you're ready to move beyond connecting to one or two SaaS products, Easy Insight provides robust ETL capabilities within the product itself to help you import flat file or relational database data, transform and join the data with other data sources, and create everything from beautiful executive dashboards to detailed tables. Extensive and easy to use security features make it easy to limit which data your users can see, enabling you to take a single dashboard and present it differently to everyone in your organization. Each sales rep will see his own data and each project manager her own projects, all operating on that same core set of dashboards and dramatically reducing the cost of rework. **Average Rating:** 4.8/5.0 **Total Reviews:** 42 **How Do G2 Users Rate Easy Insight?** - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.4/10) - **Reports Interface:** 8.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Easy Insight?** - **Seller:** [Easy Insight](https://www.g2.com/sellers/easy-insight) - **Year Founded:** 2008 - **HQ Location:** Denver, CO - **Twitter:** @easyinsight (513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/259401/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 68% Small-Business, 25% Mid-Market #### What Are Recent G2 Reviews of Easy Insight? **"[Streamline Your Reporting with Easy Insight](https://www.g2.com/survey_responses/easy-insight-review-8381279)"** **Rating:** 5.0/5.0 stars *— Brittany F.* [Read full review](https://www.g2.com/survey_responses/easy-insight-review-8381279) --- **"[A must have](https://www.g2.com/survey_responses/easy-insight-review-8345034)"** **Rating:** 5.0/5.0 stars *— Jezreel D.* [Read full review](https://www.g2.com/survey_responses/easy-insight-review-8345034) --- #### What Are G2 Users Discussing About Easy Insight? - [What is Easy Insight used for?](https://www.g2.com/discussions/what-is-easy-insight-used-for) ### 25. [Bold BI](https://www.g2.com/products/bold-bi/reviews) Bold BI® by Syncfusion® is a modern, flexible analytics platform that empowers everyone—from business users to developers—to turn raw data into meaningful insights, fast. Whether you're embedding analytics into your application or building dashboards from scratch, Bold BI makes it easy to deliver powerful, interactive data experiences without compromising on performance or security. With an intuitive no-code, drag-and-drop interface, even non-technical users can create stunning dashboards in minutes. Meanwhile, developers enjoy deep customization through robust APIs, SDKs, and white-labeling options, making it simple to integrate analytics seamlessly into any application. With support for 130+ data sources, including Microsoft SQL Server, Azure SQL Data Warehouse, Oracle, REST APIs, Bold Datahub, and more, Bold BI offers unmatched data flexibility and connectivity. Designed for secure, scalable deployments, the platform’s multi-tenant architecture and enterprise-grade security features single sign-on (SSO) via OAuth2 and OpenID and role-based access control to ensure data protection and simplified user management. Real-time dashboard sharing, scheduled alerts, and export options make collaboration effortless, helping teams stay aligned and make faster, data-driven decisions. Backed by Syncfusion, Bold BI offers end-to-end expert support, ideal for organizations looking to scale their analytics. Customers benefit from 24/5 assistance through free scheduled support calls, live chat, and email—from onboarding to full implementation. NOTE: Older reviews may reference the historical product name, "Syncfusion Dashboard Platform." **Average Rating:** 4.4/5.0 **Total Reviews:** 88 **How Do G2 Users Rate Bold BI?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.4/10) - **Reports Interface:** 8.4/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Bold BI?** - **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:** 51% Small-Business, 32% Mid-Market #### What Are Bold BI's Pros and Cons? **Pros:** - Customer Support (17 reviews) - Ease of Use (16 reviews) - Integrations (12 reviews) - Dashboard Customization (8 reviews) - Embedding Features (8 reviews) **Cons:** - Bugs (8 reviews) - Learning Curve (7 reviews) - Difficult Setup (6 reviews) - Software Bugs (5 reviews) - Dashboard Issues (4 reviews) ### What Do G2 Reviewers Say About Bold BI? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **exceptional customer support** from Bold BI, highlighting prompt assistance and expert guidance throughout the experience. - Users value the **ease of use** of Bold BI, appreciating its intuitive design and seamless integration with data sources. - Users value the **ease of integration** with various data sources, enhancing their analytics experience effortlessly. - Users find Bold BI's **dashboard customization** intuitive and powerful, enabling quick creation of impressive, secure dashboards. - Users value the **seamless embedding capabilities** of Bold BI, enabling quick integration of analytics in various platforms. **Cons:** - Users report several **bugs** in Bold BI, particularly during updates, affecting overall application stability and performance. - Users note a challenging **learning curve** with Bold BI, requiring technical knowledge for advanced features and setups. - Users face a **difficult setup** process initially, requiring tutorials and technical knowledge for advanced customization. - Users report **numerous software bugs** in Bold BI, especially with Docker and Kubernetes compatibility, causing frustration. - Users often face **dashboard issues** related to setup time, complexity, and performance, impacting their overall experience. #### What Are Recent G2 Reviews of Bold BI? **"[Powerful, Flexible Analytics Platform with Intuitive Design and Excellent Support](https://www.g2.com/survey_responses/bold-bi-review-12016141)"** **Rating:** 5.0/5.0 stars *— Mohamed zulfadli A.* [Read full review](https://www.g2.com/survey_responses/bold-bi-review-12016141) --- **"[Simple, Powerful, and Works Well](https://www.g2.com/survey_responses/bold-bi-review-10818671)"** **Rating:** 5.0/5.0 stars *— muhdin m.* [Read full review](https://www.g2.com/survey_responses/bold-bi-review-10818671) --- #### What Are G2 Users Discussing About Bold BI? - [What is Bold BI used for?](https://www.g2.com/discussions/what-is-bold-bi-used-for) - [What are Microsoft BI tools?](https://www.g2.com/discussions/what-are-microsoft-bi-tools) - [What are examples of BI tools?](https://www.g2.com/discussions/bold-bi-what-are-examples-of-bi-tools) - [What is the most popular BI tool?](https://www.g2.com/discussions/what-is-the-most-popular-bi-tool) - [What is bold bi?](https://www.g2.com/discussions/what-is-bold-bi) ## 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.