# Best Enterprise 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.* Products classified in the overall Analytics Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Analytics Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Analytics Platforms category. In addition to qualifying for inclusion in the Analytics Platforms category, to qualify for inclusion in the Enterprise Business Analytics Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business. ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,666 reviews) | Flexible visual dashboard exploration | "[Clear data means quick decisions.](https://www.g2.com/survey_responses/tableau-review-13124621)" | | 2 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,592 reviews) | Microsoft-connected interactive dashboards | "[Zero-Code Dashboards with Easy Data Transformations and One-Click Publishing](https://www.g2.com/survey_responses/microsoft-power-bi-review-12864007)" | | 3 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,322 reviews) | Governed lakehouse analytics and ML workflows | "[Helpful for Managing and Analyzing Operational Data](https://www.g2.com/survey_responses/databricks-review-13090803)" | | 4 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (771 reviews) | Cloud analytics for governed data science | "[Powerful Integration, Effortless Customization](https://www.g2.com/survey_responses/sas-viya-review-13109700)" | | 5 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (845 reviews) | No-code data preparation and automation | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" | | 6 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,022 reviews) | Centralized self-service business dashboards | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" | | 7 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,587 reviews) | Governed shared BI metrics | "[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (265 reviews) | Semantic-layer acceleration for enterprise BI | "[Kyvos Unified Our Business Logic with a Single Semantic Model](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12797024)" | | 9 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (402 reviews) | SQL and Python notebook analytics apps | "[All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards](https://www.g2.com/survey_responses/hex-review-13125920)" | | 10 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (544 reviews) | Warehouse-native spreadsheet-style analytics | "[Sigma unlocks data value for our organization](https://www.g2.com/survey_responses/sigma-review-10895340)" | --- ## What Are the Most Common Questions About Analytics Platforms? *AI-generated · Last updated: May 26, 2026* ### What analytics platforms with intuitive UI that non-technical users adopt without extensive training? Based on G2 reviews, buyers looking for analytics platforms with an intuitive interface often prioritize drag-and-drop workflows, easy report creation, and minimal training overhead. According to verified users, Microsoft Power BI is frequently described as easy to use for dashboard creation, with non-technical teams able to navigate dashboards and build simple reports. Tableau reviewers also mention beginner-friendly dashboarding and drag-and-drop analysis, especially for quick visualization work. G2 reviewers mention that Looker can support self-service access once models are set up, though some users note a steeper learning curve for report creation. Across recent reviews, ease of use is strongest when teams need straightforward dashboard access, fast setup, and familiar visual exploration. ### What most trusted analytics solutions by data teams based on user reviews for teams with similar? Based on G2 reviews, trust among data teams in this category often comes from reliability in handling large datasets, flexible workflows, and strong collaboration between technical and business users. According to verified users, Databricks is repeatedly trusted for unifying data engineering, analytics, and machine learning in one environment, which reduces tool sprawl. G2 reviewers mention Microsoft Power BI as dependable for centralizing reporting and sharing metrics across teams, especially in Microsoft-heavy environments. Tableau is also trusted for visual exploration and dashboard creation, particularly when teams need strong storytelling and flexible analysis. Recent reviews show that data teams value tools they can rely on for scaling workflows, consolidating sources, and keeping metrics accessible to stakeholders. ### Which analytics solutions integrate with data warehouses like snowflake, BigQuery, and Redshift seamlessly? Based on G2 reviews, Databricks stands out for teams that need seamless integration with modern data warehouse and cloud data environments. According to verified users, Databricks brings data engineering, analytics, and machine learning into one platform while connecting well with tools such as Snowflake, BigQuery, and related cloud ecosystems. G2 reviewers mention native connectors, shared notebooks, workflow orchestration, and unified data handling as key reasons it simplifies work across warehouse-based stacks. Reviews also describe easier collaboration and fewer handoffs between teams because data processing and analysis stay in one environment. For buyers prioritizing warehouse-centric analytics, recent feedback most consistently points to Databricks as the strongest fit in this dataset. ### What top analytics platforms for mid-market companies building self-service dashboards across departments that scales with team? Based on G2 reviews, mid-market teams building self-service dashboards across departments often look for tools that centralize reporting, support business users, and reduce dependence on manual spreadsheet work. G2 reviewers mention Microsoft Power BI as a strong fit for cross-functional KPI tracking, automated dashboards, and broad access across business users. According to verified users, Databricks supports scalable analytics workflows when teams need broader data engineering and analytics in one place. Tableau is also cited for interactive dashboards and accessible visual exploration, especially when organizations want polished reporting for multiple stakeholders. Across recent reviews, these platforms are described as helpful for scaling visibility across finance, operations, sales, and marketing without constantly rebuilding reports. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – used to centralize reporting and give business teams self-service dashboards across departments - [Databricks](https://www.g2.com/products/databricks/reviews) – supports scalable data workflows that combine analytics, reporting, and shared access to large datasets - [Tableau](https://www.g2.com/products/tableau/reviews) – helps teams build interactive dashboards and share visual insights across business functions ### Which analytics solutions provide fast query response and drill-down capability for ad-hoc exploration? Based on G2 reviews, Microsoft Power BI is a strong choice when teams need fast query response and flexible drill-down for ad-hoc exploration. According to verified users, Power BI makes it easy to drill into numbers, filter data, and explore trends without writing repeated custom queries. G2 reviewers mention cross-filtering, interactive dashboards, and quick access to KPIs as key strengths for day-to-day analysis. Reviews also highlight its ability to centralize data from multiple sources and let business users navigate details on their own. While some reviewers mention performance slowdowns on especially large or complex datasets, recent feedback still shows Power BI as the most consistently referenced option here for accessible drill-down analysis. ### What analytics platforms supporting collaborative dashboards, annotations, and mobile access for on-the-go insights? Based on G2 reviews, collaboration and mobile accessibility are recurring strengths for several analytics platforms. According to verified users, Domo supports sharing dashboards, discussing insights, and enabling collaboration across departments, with reviewers also highlighting its mobile experience. G2 reviewers mention Yellowfin BI for collaboration through comments, annotations, and shared reporting workflows that help teams discuss data in context. Microsoft Power BI is also noted for mobile and web access, along with easy dashboard sharing and centralized reporting. Recent reviews suggest these tools are most relevant when teams need analytics that travel beyond a desktop, allowing leaders and frontline users to access dashboards, review updates, and align on performance while moving between meetings or locations. ### Which analytics platforms prevent incorrect conclusions by enforcing data governance and preventing metric manipulation? Based on G2 reviews, Looker is one of the strongest options for preventing incorrect conclusions through governed metrics and centralized definitions. According to verified users, its modeling approach helps define metrics once and apply them consistently across dashboards, reducing disagreements over what a number means. G2 reviewers mention that this centralized layer helps stop teams from pulling conflicting versions of the same metric and creates a more trusted reporting environment. Reviews also describe faster decision-making because teams are working from one shared definition instead of reconciling spreadsheets. For organizations focused on governance, consistency, and reducing metric drift, recent review language most directly supports Looker in this area. ### What is the best analytics platforms for business teams accessing insights without requiring SQL or data science skills? Based on G2 reviews, Microsoft Power BI is the best-supported answer in this dataset for business teams that need insights without requiring SQL or data science skills. According to verified users, it is easy to use, supports drag-and-drop reporting, and helps non-technical users access dashboards and explore data without heavy training. G2 reviewers mention self-service dashboards, natural language features, and accessible visualizations that help staff make informed decisions without depending on technical teams for every question. Reviews also note strong integration with common business tools and data sources, which helps teams get started faster. For non-technical business users, Power BI is the most consistently referenced option in recent reviews. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – helps non-technical teams build and use dashboards with drag-and-drop reporting and familiar workflows - [Tableau](https://www.g2.com/products/tableau/reviews) – supports quick visual exploration with an intuitive drag-and-drop interface for broad business use - [Looker](https://www.g2.com/products/looker/reviews) – enables self-service exploration and shared dashboards once models are set up for business teams ### What highest rated analytics platform for enterprises democratizing data access across business functions? Based on G2 reviews, enterprises democratizing data access across business functions often choose platforms that centralize metrics and make dashboards accessible to non-technical users. G2 reviewers mention Microsoft Power BI for unifying reporting across departments and helping business users explore dashboards directly. According to verified users, Looker supports centralized metric definitions and broader self-service analytics across organizations, reducing inconsistencies between teams. Tableau is also frequently cited for making complex datasets easier to communicate through interactive dashboards and visual storytelling. Across recent reviews, these platforms are associated with giving finance, operations, marketing, and leadership a common view of performance so teams can act without waiting on repeated manual reporting. **Here are some of the top-rated products on G2:** - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) – centralizes dashboards and gives business teams direct access to live metrics across functions - [Looker](https://www.g2.com/products/looker/reviews) – provides a centralized modeling layer that helps teams work from shared definitions across the organization - [Tableau](https://www.g2.com/products/tableau/reviews) – makes cross-functional insights easier to share through interactive dashboards and visual exploration ### What analytics solutions with robust caching and performance optimization to maintain fast speeds at scale? Based on G2 reviews, several analytics solutions stand out for maintaining speed at scale through performance optimization. According to verified users, Databricks is frequently praised for handling large-scale data processing efficiently and supporting complex analytics without major slowdowns when workflows are managed well. G2 reviewers mention Kyvos Semantic Layer for accelerating query response on very large datasets and improving dashboard responsiveness, especially in BI environments. Tableau and Microsoft Power BI are also noted for strong performance in many day-to-day scenarios, though reviewers sometimes mention tuning is important as complexity grows. Across recent reviews, the strongest performance-focused language centers on Databricks and Kyvos when buyers need fast access to large volumes of data. ## G2 Grid® for Analytics Platforms ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=1213&focus%5B%5D=29364&focus%5B%5D=10470&focus%5B%5D=989&focus%5B%5D=1001&focus%5B%5D=612&focus%5B%5D=27024&focus%5B%5D=1327283) Highlighted products: Tableau, Microsoft Power BI, Databricks, Alteryx, Oracle Analytics Cloud, IBM Cognos Analytics, Kyvos Semantic Layer, and SAS Viya. Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=oracle-analytics-cloud&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=kyvos-semantic-layer&focus%5B%5D=sas-sas-viya&segment=enterprise) ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 361 ### Category Stats (Jul 2026) - **Average Rating**: 4.49/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Zenlytic (+2.77%) - Among all products in this category, Zenlytic recorded the largest rating increase compared to last month *Last updated: July 17, 2026* ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 28,700+ Authentic Reviews - 361+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. --- **Sponsored** ### AgencyAnalytics AgencyAnalytics is the only reporting and insights platform built for marketing agencies. Prove your value to clients, win back the hours you lose to manual reporting, and keep more of the clients you've worked hard to earn. Connect every client's marketing channels into live, customizable dashboards and report on SEO, PPC, social media, email, call tracking, ecommerce, local, and more, with 85+ integrations in one place. Automate report creation and scheduling so polished, accurate updates go out on time without the manual work. 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[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 commend the **ease of use** of Qlik Sense, appreciating its user-friendly interface and seamless data integration. - Users value the **robust data visualization capabilities** in Qlik Sense, enhancing insight generation from diverse data sources. - Users value the **rapid development capabilities** of Qlik Sense, enabling quick creation of insightful analytics applications. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and facilitating data integration effortlessly. - Users praise the **versatile tools** of Qlik Sense, enabling effective data integration and insightful analytics at all levels. **Cons:** - Users note the **limited features** of Qlik Sense, particularly regarding custom visuals and dashboard development ease. - Users miss the **ability to add personal objects** and static report features in Qlik Sense SaaS compared to on-premise. - Users find Qlik Sense to be **expensive** , which affects its accessibility and overall value for data analytics. - Users are frustrated with **manual data management tasks** , wishing for more automation and better data organization in Qlik Sense. - Using Qlik Sense involves a steep **learning curve** , making it challenging for beginners to utilize effectively. #### What Are Recent G2 Reviews of Qlik Sense? **"[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) --- **"[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) --- #### 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 ### 2. [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:** Business Intelligence Developer, Manager - **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** in Strategy One, facilitating quick access to insights and effective data management. - Users admire the **ongoing commitment to innovation** in Strategy One, ensuring it consistently stays ahead of competitors. - Users appreciate the **easy setup** of Strategy One, facilitating quick access and efficient data management from the start. - Users appreciate the **customization options** in Strategy One, enabling tailored applications and efficient data analysis. - Users love the **flexible dashboard customization** that simplifies data analysis and enhances reporting capabilities. **Cons:** - Users find the **learning difficulty** significant, as the software's complexity can be overwhelming for both technical and end users. - Users find the **steep learning curve** of Strategy One challenging, although improvements are being made for easier navigation. - Users find the **absence of essential features** in Strategy One, especially integration with tools like Copilot, frustrating. - Users often find the **complex usage** of Strategy One overwhelming, facing a steep learning curve and integration challenges. - Users face **access restrictions** due to the need for an enterprise version, limiting broader availability and customization. #### 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) ### 3. [Board](https://www.g2.com/products/board/reviews) Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully integrated planning solution spans the entire enterprise, delivering value for financial and operational planning in one unified platform. Using internal data and expert-curated external indicators, Board provides real-time visibility into your business. Board offers the most flexible, collaborative and adaptive user experience, powering executive dashboards and analytic capabilities that allows clear explanation and interpretation delivered through generative AI. This allows organizations to respond in an agile manner: capitalize on opportunities, optimize resources and mitigate risks. **Average Rating:** 4.4/5.0 **Total Reviews:** 301 **How Do G2 Users Rate Board?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.4/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Board?** - **Seller:** [Board International](https://www.g2.com/sellers/board-international) - **Company Website:** https://www.board.com - **Year Founded:** 1994 - **HQ Location:** Chiasso, Ticino - **Twitter:** @BoardSoftware (27,073 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/98246/ (932 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Mid-Market, 40% Enterprise #### What Are Board's Pros and Cons? **Pros:** - Ease of Use (26 reviews) - Flexibility (21 reviews) - Features (20 reviews) - Efficiency (18 reviews) - Customization (16 reviews) **Cons:** - Slow Performance (9 reviews) - Learning Curve (8 reviews) - Missing Features (8 reviews) - Poor Visualization (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About Board? *AI-generated summary from verified user reviews* **Pros:** - Users find BOARD's interface **easy to use** , enabling quick report generation and seamless updates for customized solutions. - Users value the **flexibility** of BOARD, enabling tailored solutions that adapt seamlessly to various business processes. - Users appreciate the **flexibility and ease of integration** of Board, making data management simple and efficient. - Users value the **efficiency** of BOARD for seamless sales, operations, and merchandising activities in one platform. - Users value BOARD's **customization capabilities** , allowing tailored solutions that fit organizational cultures and workflows perfectly. **Cons:** - Users experience **slow performance** with large datasets and complex setups, impacting efficiency and report creation. - Users find the **steep learning curve** of Board frustrating, often hindering effective usage and efficiency. - Users often find **missing features** in report creation limits their ability to effectively utilize the platform. - Users experience **poor visualization** with Board, facing challenges in dashboard design and complex data handling. - Users often find Board's **complexity** a challenge, especially regarding setup and performance with large datasets. #### What Are Recent G2 Reviews of Board? **"[Almost Unlimited Flexibility Across Data Models, Workflows, and Reports](https://www.g2.com/survey_responses/board-review-12625234)"** **Rating:** 4.5/5.0 stars *— Peter T.* [Read full review](https://www.g2.com/survey_responses/board-review-12625234) --- **"[Insightful Yet Challenging for Forecasting](https://www.g2.com/survey_responses/board-review-13069480)"** **Rating:** 4.5/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/board-review-13069480) --- #### What Are G2 Users Discussing About Board? - [What is Board used for?](https://www.g2.com/discussions/what-is-board-used-for) - 1 upvote ### 4. [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 (29 reviews) - Ease of Use (25 reviews) - Dashboard Customization (19 reviews) - Data Analysis (19 reviews) - Data Visualization (18 reviews) **Cons:** - Complex Usability (18 reviews) - Difficult Learning (18 reviews) - Learning Curve (18 reviews) - Complexity (10 reviews) - Learning Difficulty (10 reviews) ### What Do G2 Reviewers Say About Intellicus? *AI-generated summary from verified user reviews* **Pros:** - Users find the **reporting capabilities** of Intellicus efficient and user-friendly, enhancing their data management experience. - Users value the **ease of use** of Intellicus, enhancing workflow efficiency and streamlining data management tasks effectively. - Users value the **ease of dashboard customization** in Intellicus, enabling tailored insights for diverse management levels. - Users appreciate the **end-to-end data analysis solutions** of Intellicus, enhancing efficiency in data processing and integration. - Users value the **advanced data visualization capabilities** of Intellicus, enhancing their business intelligence and decision-making efforts. **Cons:** - Users find the **complex usability** of Intellicus challenging, especially with advanced features and initial setup requiring technical knowledge. - Users find certain features of Intellicus **difficult to learn** , impacting the overall user experience and efficiency. - Users find the **learning curve steep** with Intellicus, as advanced features and scripting are not immediately intuitive. - Users find Intellicus's **complex interface** overwhelming initially, requiring time to master before fully utilizing its features. - Users find the **learning difficulty** of Intellicus challenging due to complex features and initial technical understanding required. #### 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 ### 5. [Logility Solutions](https://www.g2.com/products/logility-solutions/reviews) Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth. **Average Rating:** 4.2/5.0 **Total Reviews:** 125 **How Do G2 Users Rate Logility Solutions?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Logility Solutions?** - **Seller:** [Aptean](https://www.g2.com/sellers/aptean) - **Company Website:** https://www.aptean.com - **Year Founded:** 2012 - **HQ Location:** Alpharetta, Georgia - **Twitter:** @Aptean (1,620 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2681769/ (3,045 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Consumer Goods, Food & Beverages - **Company Size:** 53% Mid-Market, 31% Enterprise #### What Are Recent G2 Reviews of Logility Solutions? **"[Streamlined Supply Chain with Robust Forecasting](https://www.g2.com/survey_responses/logility-solutions-review-13101378)"** **Rating:** 4.0/5.0 stars *— Sugumar R.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-13101378) --- **"[Powerful Forecasting, Clunky Interface](https://www.g2.com/survey_responses/logility-solutions-review-13121635)"** **Rating:** 4.0/5.0 stars *— Vimal G.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-13121635) --- #### What Are G2 Users Discussing About Logility Solutions? - [What is your experience regarding pricing and costs for Logility Solutions, and how has it impacted your supply chain?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-logility-solutions-and-how-has-it-impacted-your-supply-chain) - [What is Logility Solutions used for?](https://www.g2.com/discussions/what-is-logility-solutions-used-for) - [What is Demand Management: Forecast Management used for?](https://www.g2.com/discussions/what-is-demand-management-forecast-management-used-for) - [What is JDA used for?](https://www.g2.com/discussions/what-is-jda-used-for) - [What is e2open?](https://www.g2.com/discussions/what-is-e2open) ### 6. [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:** 101 **How Do G2 Users Rate KNIME?** - **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:** 8.1/10 (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:** 42% 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's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly. - Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly. - Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly. - Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development. - Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand. **Cons:** - Users find the **initial learning curve challenging** , especially for those new to data science and visual programming. - Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files. - Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files. - Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility. - Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities. #### What Are Recent G2 Reviews of KNIME? **"[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) --- **"[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) --- #### 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) ### 7. [Cloudera](https://www.g2.com/products/cloudera/reviews) Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 6.1/10 (Category avg: 8.4/10) - **Reports Interface:** 7.1/10 (Category avg: 8.7/10) - **Calculated Fields:** 6.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,442 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### What Do G2 Reviewers Say About Cloudera? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **brilliant and easy-to-use interface** of Cloudera, enhancing their data analysis experience. - Users value the **seamless scalability** of Cloudera, effectively handling vast amounts of data with ease. - Users appreciate the **strong security features** of Cloudera, ensuring reliable data management and protection. - Users value Cloudera for its **comprehensive big data management tools** , enhancing their data handling and scalability experience. - Users appreciate the **scalability and ease of use** of Cloudera, making data management and reporting effortless. **Cons:** - Users note that Cloudera's platform can be **expensive** to maintain and challenging to set up, especially for beginners. - Users find the **complexity** of Cloudera challenging, especially when managing SQL queries and customization. - Users find the **learning curve steep** with Cloudera, making setup and navigation challenging for beginners. - Users find Cloudera's **poor documentation** makes navigating complex data configurations challenging and complicates error resolution. - Users face significant **access issues** with Cloudera, including authorization errors and limited documentation support. #### What Are Recent G2 Reviews of Cloudera? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) --- #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### 8. [Klipfolio](https://www.g2.com/products/klipfolio/reviews) Klipfolio Klips is a dashboard and reporting platform that lets you build real-time, pixel-perfect data visualizations and distribute powerful custom dashboards and reports. It allows teams and businesses to connect, model, and visualize data from multiple sources in one place, helping your team or your clients make informed, data-driven decisions. Product Category Klips falls under the category of business intelligence and dashboard software, specifically designed to create dynamic, customizable data visualizations. It focuses on empowering small and mid-sized businesses with accessible, real-time analytics to unify their data for better insights and performance tracking. Klipfolio Klips is ideal for: - Small and Mid-Sized Businesses: Teams looking for a cost-effective way to gain actionable insights and improve decision-making with custom dashboards. - Data Analysts: Professionals who need flexible tools to model, visualize, and distribute metrics to stakeholders. - Client-Focused Organizations: Agencies or teams who want to create professional, branded dashboards for their clients. Klipfolio Klips helps businesses gain a single source of truth for their data with: - Real-Time Dashboards: Build highly customizable dashboards that update in real-time to track business performance. - Wide Data Integration: Connect to hundreds of services, APIs, databases, and spreadsheets for seamless data aggregation. - Data Modeling Tools: Transform, combine, and format data within Klipfolio to prepare it for analysis. - Customizable Visualizations: Create pixel-perfect charts, graphs, and visualizations tailored to your unique needs. - Accessible Reports: Share insights through PDF reports, scheduled emails, or published dashboard links for external access. - With Klips, teams can centralize their data, ensure consistency, and access insights anytime, anywhere, helping them make smarter, more informed decisions. **Average Rating:** 4.5/5.0 **Total Reviews:** 239 **How Do G2 Users Rate Klipfolio?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.4/10 (Category avg: 8.4/10) - **Reports Interface:** 8.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Klipfolio?** - **Seller:** [Klipfolio](https://www.g2.com/sellers/klipfolio) - **Year Founded:** 2001 - **HQ Location:** Ottawa, ON - **Twitter:** @klipfolio (4,430 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/klipfolio/ (29 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 55% Small-Business, 36% Mid-Market #### What Are Klipfolio's Pros and Cons? **Pros:** - Integrations (2 reviews) - Customer Support (1 reviews) - Ease of Understanding (1 reviews) - Ease of Use (1 reviews) - Intuition (1 reviews) **Cons:** - Limited Chart Functionality (1 reviews) ### What Do G2 Reviewers Say About Klipfolio? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless integrations** of Klipfolio, enabling smooth connections with various data sources effortlessly. - Users value the **responsive customer support** of Klipfolio, which ensures they never feel stuck with issues. - Users praise Klipfolio for its **ease of understanding** , allowing quick setup and smooth integration with data sources. - Users find Klipfolio easy to use with **smooth connectivity** to data sources and excellent support when needed. - Users find Klipfolio's **intuitive design** and clean UI greatly enhance their experience and integration capabilities. **Cons:** - Users find the **limited chart functionality** of Klipfolio restricts advanced data analysis compared to other tools. #### What Are Recent G2 Reviews of Klipfolio? **"[Klipfolio Review](https://www.g2.com/survey_responses/klipfolio-review-11750230)"** **Rating:** 5.0/5.0 stars *— sumeet y.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-11750230) --- **"[All the Pertinent Data at a Glance—Very Helpful](https://www.g2.com/survey_responses/klipfolio-review-12383725)"** **Rating:** 5.0/5.0 stars *— Martin S.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-12383725) --- #### What Are G2 Users Discussing About Klipfolio? - [What is Klipfolio used for?](https://www.g2.com/discussions/what-is-klipfolio-used-for) ### 9. [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 praise the **ease of use** of OWOX, highlighting its quick setup and intuitive interface. - Users value the **excellent support team** at OWOX, appreciating their flexibility and commitment to solving problems. - Users value OWOX for its **data ownership and flexibility** , enabling efficient management and utilization of business data. - Users value the **excellent customer support** from OWOX, noting their responsiveness and helpful assistance throughout the process. - Users value the **easy-to-use analytics** of OWOX, enabling effective tracking and improved advertising insights. **Cons:** - Users report **data management issues** with OWOX, including bugs and unreliable scheduling that affect data accuracy. - Users face **error handling issues** , requiring dedicated troubleshooting to unearth fundamental data errors and ensure reliability. - The **expensive pricing** structure for hourly schedules limits accessibility, despite overall satisfaction with the product's functionality. - Users find the **integration issues** with custom external services a barrier to achieving optimal functionality. - Users desire **more detailed instructions** and features like reliability in scheduling and data updates in 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 ### 10. [Phocas Software](https://www.g2.com/products/phocas-software/reviews) Phocas Software delivers cloud-based business intelligence (BI) and financial planning and analysis (FP&A) solutions for mid-market businesses in wholesale distribution, manufacturing, and retail. Phocas delivers an intuitive, accessible platform that simplifies data analysis and financial planning, empowering organizations to make confident, data-driven decisions. Seamlessly integrating with ERP systems and any other source, Phocas consolidates data into a centralized platform. Unlocking the potential of ERP data and delivering improvements at every business level. Its BI core enables users to explore data, spot trends, and find opportunities. FP&A tools support dynamic financial reporting, flexible budgeting, performance tracking and accurate forecasts. Plus, Phocas offers automated rebate management. Phocas Analytics A BI tool that connects businesses around one central data source. It’s fast, secure and designed to be self-serve for everyone. Up-to-date data is easy to access and explore empowering people to understand and improve the business at any level – by branch, division, sales, product, customer. • Data consolidation: ERP + other data sources automatically consolidated into a centralized platform • AI natural language: query data using Phocas AI and get instant answers • Drill down: Explore data from high-level overviews to transactional detail • Enhanced analysis: Flexible pivot tables enable custom data analysis • Ad hoc reporting: Build custom reports and dashboards in minutes and with ease • Visualizations & dashboards: Transform live data into custom dashboards, charts, graphs and sparklines Phocas Financial Statements Designed to help businesses easily and accurately report on their financial health and performance. ERP numbers are transformed into dynamic profit and loss (income statement), balance sheet and cashflow statements. Empowering users to quickly explore data in detail and to proactively solve problems. • Customize: Easily adjust statements to suit cross-functional teams • Fast: speed up month-end with automated financial data consolidation and reporting • Live actuals: work with reliable, up-to-date actuals with formulas and ratios baked into the tool • Drill down: slice, dice and drill down to transaction-level detail • Side-by-side analysis: compare statements across different periods, branches, divisions • User-based access: secure visibility and direction for end business users Phocas Budgets & Forecasts Consolidates planning across the business in one place – financial budgets, sales forecasts, headcount, demand planning. As easy to use as a spreadsheet, just faster and custom-built. • Automated: budgets and forecasts are populated with live ERP data so actuals are always reliable • Flexible: adapts to growing business needs; handles increased complexity, detailed planning • Easy tracking: use live actuals to regularly track performance, compare to budgets, quickly reforecast • Collaborative: assignment, submission and approval processes make cross-functional input quick and stress-free • Versatile: facilitates driver-based, multi-level, 3-statement budgeting, unlimited scenario planning Phocas Rebates Automated payable and receivable rebate management that improves accuracy and delivers more profitable outcomes. A self-serve tool that makes it easy to identify trends, spot near misses, and assess overall performance. With real-time updates, users can quickly optimize product offers, pricing, and purchasing decisions to align with emerging opportunities. Enabling businesses to maximize profitability and strengthen partnerships. **Average Rating:** 4.6/5.0 **Total Reviews:** 188 **How Do G2 Users Rate Phocas Software?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Phocas Software?** - **Seller:** [Phocas Software](https://www.g2.com/sellers/phocas-software) - **Company Website:** https://www.phocassoftware.com - **Year Founded:** 1999 - **HQ Location:** Sydney, AU - **LinkedIn® Page:** https://www.linkedin.com/company/1114241/ (332 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Wholesale, Electrical/Electronic Manufacturing - **Company Size:** 66% Mid-Market, 23% Small-Business #### What Are Phocas Software's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Capabilities (5 reviews) - Data Analysis (5 reviews) - Report Creation (5 reviews) - Reporting Efficiency (5 reviews) **Cons:** - Feature Improvements (3 reviews) - Improvements Needed (3 reviews) - Missing Features (3 reviews) - Missing Functionality (3 reviews) - Bugs (2 reviews) ### What Do G2 Reviewers Say About Phocas Software? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Phocas Software, enabling straightforward data interpretation and effective decision-making. - Users praise Phocas Software for its **intuitive capabilities** that simplify data analysis and enhance decision-making. - Users value **fast and clear data analysis** in Phocas Software, facilitating informed decision-making with ease. - Users value the **easy report creation** in Phocas Software, enabling quick, defensible insights for decision-making. - Users appreciate the **reporting efficiency** of Phocas Software, enabling quick, credible insights for informed decision-making. **Cons:** - Users find **feature improvements necessary** for Phocas Software, particularly in budgeting and user experience at scale. - Users note that **improvements are needed** in data handling, budgeting, and user experience for better efficiency. - Users report **missing features** in Phocas Software, impacting operational efficiency and user experience in complex environments. - Users express frustration over **missing functionality** like real-time data access and limited contract-level intelligence in Phocas Software. - Users report encountering **bugs and date format issues** that complicate setup and lead to time-consuming troubleshooting. #### What Are Recent G2 Reviews of Phocas Software? **"[Phocas Software: Delivering Decision-Ready Insight, Commercial Control, and Governance at Scale](https://www.g2.com/survey_responses/phocas-software-review-12082649)"** **Rating:** 5.0/5.0 stars *— Lyndon R.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12082649) --- **"[Effortless Data Integration and Visualization with Phocas](https://www.g2.com/survey_responses/phocas-software-review-12057725)"** **Rating:** 5.0/5.0 stars *— Matthew W.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12057725) --- #### What Are G2 Users Discussing About Phocas Software? - [What is Phocas Software used for?](https://www.g2.com/discussions/what-is-phocas-software-used-for) - 1 comment ### 11. [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 value the **exceptional customer support** from Bold BI, noting prompt responses and authoritative guidance during setup and usage. - Users appreciate the **ease of use** of Bold BI, highlighting its intuitive design and seamless integration capabilities. - Users value the **easy integration** with various data sources and platforms, enhancing their analytics experience significantly. - Users enjoy the **drag-and-drop dashboard customization** of Bold BI, enabling quick creation of impressive, user-friendly dashboards. - Users value the **seamless embedding capabilities** of Bold BI, enabling quick integration of analytics into their applications. **Cons:** - Users report encountering **numerous bugs** in Bold BI, especially after updates, impacting overall stability and functionality. - Users face a **steep learning curve** with Bold BI, necessitating technical knowledge for advanced configurations and setup. - Users face a **difficult setup** process for Bold BI initially, requiring tutorials and technical knowledge for customization. - Users often face **software bugs** in Bold BI, particularly during version updates and with Docker and Kubernetes compatibility. - Users find **dashboard issues** with Bold BI, including setup time, complex configurations, and performance with intricate designs. #### What Are Recent G2 Reviews of Bold BI? **"[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) --- **"[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) --- #### 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) ### 12. [Coefficient](https://www.g2.com/products/coefficient/reviews) Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets. **Average Rating:** 4.7/5.0 **Total Reviews:** 194 **How Do G2 Users Rate Coefficient?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10) - **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 Coefficient?** - **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient) - **Company Website:** https://coefficient.io/ - **Year Founded:** 2020 - **HQ Location:** Palo Alto, CA - **Twitter:** @coefficient_io (346 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/coefficientworks/ (71 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 46% Mid-Market, 35% Small-Business #### What Are Coefficient's Pros and Cons? **Pros:** - Ease of Use (111 reviews) - Automation (61 reviews) - Integrations (47 reviews) - Easy Integrations (42 reviews) - Time-saving (42 reviews) **Cons:** - Feature Limitations (33 reviews) - Limited Features (21 reviews) - Missing Features (15 reviews) - Limitations (14 reviews) - Integration Issues (13 reviews) ### What Do G2 Reviewers Say About Coefficient? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** with Coefficient, enjoying seamless data extraction and hassle-free connectivity. - Users love the **automation capabilities** of Coefficient, which simplify data integration and save significant time. - Users appreciate the **seamless integrations** of Coefficient, effortlessly syncing data between Salesforce, QuickBooks, and Google Sheets. - Users love the **easy integrations** of Coefficient, drastically improving workflow and enabling hassle-free data syncing. - Users enjoy the **time-saving automation** of Coefficient, regaining hours each week with effortless data management. **Cons:** - Users find the **feature limitations** of Coefficient frustrating, especially with filtering and data formatting issues. - Users face **limited features** with Coefficient, particularly regarding filter and import restrictions compared to Google Sheets. - Users are dissatisfied with the **missing features** in Coefficient, such as limited filter options and inadequate chart integration. - Users face **filter limitations** in Coefficient, impacting their ability to manage data efficiently across imports. - Users face **integration issues** with Coefficient, particularly lacking essential features and facing frustrating import formats. #### What Are Recent G2 Reviews of Coefficient? **"[Efficient, User-Friendly Tool for Integrating Salesforce with Google Sheets](https://www.g2.com/survey_responses/coefficient-review-12701723)"** **Rating:** 5.0/5.0 stars *— Ellen Dericks C.* [Read full review](https://www.g2.com/survey_responses/coefficient-review-12701723) --- **"[Seamless Database Queries in Google Sheets with Responsive Support](https://www.g2.com/survey_responses/coefficient-review-13098229)"** **Rating:** 4.5/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/coefficient-review-13098229) --- ### 13. [Deepnote](https://www.g2.com/products/deepnote/reviews) Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. 🔗 Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click. **Average Rating:** 4.5/5.0 **Total Reviews:** 380 **How Do G2 Users Rate Deepnote?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.7/10 (Category avg: 8.4/10) - **Reports Interface:** 8.0/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Deepnote?** - **Seller:** [Deepnote](https://www.g2.com/sellers/deepnote) - **Company Website:** https://www.deepnote.com - **Year Founded:** 2019 - **HQ Location:** San Francisco , US - **Twitter:** @DeepnoteHQ (5,239 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/deepnote (17 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Data Analyst - **Top Industries:** Computer Software, Higher Education - **Company Size:** 67% Small-Business, 24% Mid-Market #### What Are Deepnote's Pros and Cons? **Pros:** - Ease of Use (117 reviews) - Collaboration (93 reviews) - Team Collaboration (59 reviews) - Easy Integrations (53 reviews) - Data Management (44 reviews) **Cons:** - Slow Performance (47 reviews) - Limited Features (21 reviews) - Data Management Issues (19 reviews) - Lagging Performance (18 reviews) - Slow Loading (17 reviews) ### What Do G2 Reviewers Say About Deepnote? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Deepnote, facilitating collaboration and simplifying data analysis tasks. - Users appreciate the **seamless collaboration** capabilities of Deepnote, enhancing teamwork and project efficiency significantly. - Users value the **real-time collaboration** in Deepnote, enhancing teamwork and efficiency in data analysis processes. - Users appreciate the **easy integrations** in Deepnote, enabling seamless workflow and efficient data management. - Users appreciate the **easy data management** in Deepnote, enabling seamless integration and collaborative analytics. **Cons:** - Users notice **slow performance** with large datasets, affecting the application's responsiveness and analysis agility. - Users find the **limited features** of Deepnote hinder its usability and comparability with other tools. - Users report issues with **data management** , including slowness, kernel crashes, and unintuitive file navigation. - Users experience **lagging performance** with Deepnote, particularly when handling large datasets or multiple requests. - Users often experience **slow loading** times in Deepnote, especially with larger projects, impacting their efficiency and workflow. #### What Are Recent G2 Reviews of Deepnote? **"[Real-Time Collaboration That Makes Lab Work Easy](https://www.g2.com/survey_responses/deepnote-review-13100282)"** **Rating:** 5.0/5.0 stars *— Gabriel P.* [Read full review](https://www.g2.com/survey_responses/deepnote-review-13100282) --- **"[Deepnote Makes Team Data Work Seamless with Real-Time Collaboration](https://www.g2.com/survey_responses/deepnote-review-13121723)"** **Rating:** 4.5/5.0 stars *— Ravindra N.* [Read full review](https://www.g2.com/survey_responses/deepnote-review-13121723) --- #### What Are G2 Users Discussing About Deepnote? - [How do you use a deep note?](https://www.g2.com/discussions/how-do-you-use-a-deep-note) - [Is Deepnote open source?](https://www.g2.com/discussions/is-deepnote-open-source) - [Is Deepnote good?](https://www.g2.com/discussions/is-deepnote-good) - 1 comment - [Is Deepnote better than Colab?](https://www.g2.com/discussions/is-deepnote-better-than-colab) - 1 comment ### 14. [SAP BusinessObjects Business Intelligence (BI)](https://www.g2.com/products/sap-businessobjects-business-intelligence-bi/reviews) The SAP® BusinessObjects™ Business Intelligence (BI) platform is a flexible, scalable information infrastructure that helps you more easily discover and share insights for better business decisions. The integrated, unified infrastructure enables scalability from one to many tools and interfaces on premise, in the cloud, or as a hybrid approach. **Average Rating:** 3.8/5.0 **Total Reviews:** 236 **How Do G2 Users Rate SAP BusinessObjects Business Intelligence (BI)?** - **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.1/10 (Category avg: 8.4/10) - **Reports Interface:** 7.8/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind SAP BusinessObjects Business Intelligence (BI)?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) - **Ownership:** NYSE:SAP **Who Uses This Product?** - **Who Uses This:** Account Manager - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 66% Enterprise, 28% Mid-Market #### What Are SAP BusinessObjects Business Intelligence (BI)'s Pros and Cons? **Pros:** - Charting Features (1 reviews) - Data Visualization (1 reviews) - Ease of Understanding (1 reviews) - Integrations (1 reviews) - Team Collaboration (1 reviews) ### What Do G2 Reviewers Say About SAP BusinessObjects Business Intelligence (BI)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **flexible charting features** of SAP BI, creating impressive visuals and comprehensive dashboards effortlessly. - Users appreciate the **data visualization capabilities** of SAP BusinessObjects BI, enhancing insights and presentations for leadership effectively. - Users value the **ease of understanding** in SAP BI, enabling quick visualizations and effective data presentations for leadership. - Users appreciate the **integration capabilities** of SAP BI, enabling enhanced visuals and dashboards for data analysis. - Users value the **team collaboration features** of SAP BI, enhancing data visualization and dashboard creation for better insights. #### What Are Recent G2 Reviews of SAP BusinessObjects Business Intelligence (BI)? **"[Data Analytics Platform Enhanced](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981)"** **Rating:** 5.0/5.0 stars *— Meghan I.* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-10783981) --- **"[Great for Financial Analysis](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662)"** **Rating:** 5.0/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/sap-businessobjects-business-intelligence-bi-review-9127662) --- #### What Are G2 Users Discussing About SAP BusinessObjects Business Intelligence (BI)? - [What is SAP BusinessObjects Business Intelligence (BI) used for?](https://www.g2.com/discussions/what-is-sap-businessobjects-business-intelligence-bi-used-for) - [What are the tools used in business intelligence?](https://www.g2.com/discussions/what-are-the-tools-used-in-business-intelligence) - [What is SAP Business Objects used for?](https://www.g2.com/discussions/what-is-sap-business-objects-used-for) - [What is SAP Business Intelligence?](https://www.g2.com/discussions/what-is-sap-business-intelligence) - [What is BusinessObjects business intelligence platform?](https://www.g2.com/discussions/what-is-businessobjects-business-intelligence-platform) ### 15. [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:** 49 **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:** 44% Enterprise, 40% Mid-Market #### What Are Savant Labs's Pros and Cons? **Pros:** - Ease of Use (17 reviews) - Customer Support (11 reviews) - User Interface (9 reviews) - Integrations (8 reviews) - Easy Integrations (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 appreciate the **ease of use** of Savant Labs, enjoying its intuitive interface and seamless analytics capabilities. - Users appreciate the **friendly and responsive customer support** that effectively addresses issues and inquiries promptly. - Users love the **user-friendly interface** , which simplifies analytics and enhances productivity with seamless data integration. - Users appreciate the **easy integrations** with Google Drive and other tools, enhancing analysis efficiency without coding. - Users love the **easy integrations** with various data sources, enhancing their analytics experience without coding knowledge. **Cons:** - Users note a **steep learning curve** with Savant Labs, requiring practice and patience to navigate effectively. - Users find the **learning difficulty** with Savant Labs steep, requiring practice to navigate its innovative features effectively. - Users experience **integration issues** with Savant Labs, facing difficulties in updating data sources and tool functionality. - Users face significant **access issues** , particularly with personal email logins and outdated tools during analyses. - Users face challenges with **data management** , particularly in updating sources and refreshing analyses effectively. #### 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) --- ### 16. [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData serves over 140,000 companies and 3.2 million users worldwide. **Average Rating:** 4.3/5.0 **Total Reviews:** 597 **How Do G2 Users Rate GoodData.AI?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.6/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind GoodData.AI?** - **Seller:** [GoodData.AI](https://www.g2.com/sellers/gooddata-ai) - **Company Website:** https://www.gooddata.ai/ - **Year Founded:** 2007 - **HQ Location:** San Francisco, CA - **Twitter:** @gooddata (1 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/202760/ (281 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Product Manager - **Top Industries:** Computer Software, Consumer Services - **Company Size:** 44% Mid-Market, 40% Small-Business #### What Are GoodData.AI's Pros and Cons? **Pros:** - Ease of Use (52 reviews) - Data Visualization (34 reviews) - Integrations (34 reviews) - Intuitive (30 reviews) - Customization (28 reviews) **Cons:** - Learning Curve (28 reviews) - Learning Difficulty (19 reviews) - Missing Features (19 reviews) - Complexity (13 reviews) - Limited Customization (12 reviews) ### What Do G2 Reviewers Say About GoodData.AI? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of use** of GoodData.AI impressive, with an intuitive interface that enhances their business operations. - Users appreciate the **easy-to-use data visualization** features of GoodData.AI, enhancing accessibility for trend analysis and reporting. - Users value the **quick integration** of GoodData.AI, enhancing workflow with seamless connections to various systems. - Users highlight the **intuitive user interface** of GoodData.AI, making it easy for newcomers to utilize its features. - Users value the **customization capabilities** of GoodData.AI, enhancing flexibility and enabling tailored business insights. **Cons:** - Users find the **learning curve steep** for GoodData.AI, especially for those unfamiliar with data modeling concepts. - Users find **learning GoodData.AI challenging** , especially those with backgrounds in non-relational databases, due to its complexity. - Users find the **missing features** of GoodData.AI frustrating, limiting customization and functionality for workflows and graphics. - Users find GoodData.AI's interface **complex** , especially when dealing with advanced features and data relationships. - Users find the **limited customization** options in GoodData.AI restrictive, hindering their ability to tailor the product effectively. #### What Are Recent G2 Reviews of GoodData.AI? **"[Mosaic & Semantic Layer Unite Our Data, Plus Helpful AI Dashboard Suggestions](https://www.g2.com/survey_responses/gooddata-ai-review-12912613)"** **Rating:** 5.0/5.0 stars *— Jeff P.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-12912613) --- **"[Embedded Dashboards and Consistent Metrics That Cut Support Tickets](https://www.g2.com/survey_responses/gooddata-ai-review-13032302)"** **Rating:** 5.0/5.0 stars *— Yash G.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-13032302) --- ### 17. [SAS Augmented Analytics & Business Intelligence](https://www.g2.com/products/sas-augmented-analytics-business-intelligence/reviews) SAS offers an integrated, robust and flexible presentation layer for the full breadth of SAS Analytics capabilities **Average Rating:** 4.3/5.0 **Total Reviews:** 68 **How Do G2 Users Rate SAS Augmented Analytics & Business Intelligence?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.8/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind SAS Augmented Analytics & Business Intelligence?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 60% Enterprise, 24% Mid-Market #### What Are Recent G2 Reviews of SAS Augmented Analytics & Business Intelligence? **"[SAS BI - APAC LOGISTICS LEADER](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524)"** **Rating:** 4.5/5.0 stars *— Sathish A.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524) --- **"[Invulnerable From Conclusion to Conclusion The extreme announcing arrangement for SAP Trade Insights](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320)"** **Rating:** 4.0/5.0 stars *— Akash S.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320) --- #### What Are G2 Users Discussing About SAS Augmented Analytics & Business Intelligence? - [How much does SAS cost?](https://www.g2.com/discussions/how-much-does-sas-cost) - [What does SAS software do?](https://www.g2.com/discussions/what-does-sas-software-do) - [What does the SAS Intelligence Platform contain?](https://www.g2.com/discussions/what-does-the-sas-intelligence-platform-contain) - [What is SAS Business Intelligence?](https://www.g2.com/discussions/what-is-sas-business-intelligence) - 2 comments ### 18. [Metabase](https://www.g2.com/products/metabase/reviews) Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL, for internal and customer-facing, embedded analytics. Install and setup in 5 minutes. Works with what’s already in your data stack, including SQL and NoSQL databases, from PostgreSQL to MongoDB. Let your whole team explore data on their own, create charts, interactive dashboards, and set up subscriptions and alerts - even to people outside of your org. The native SQL editor and advanced data tools will win over your data team. From Open Source (Always Free) to Enterprise, from Metabase Cloud to self-hosted, Metabase has everything you need scale with you with a number of affordable plans. Try free for 14 days. **Average Rating:** 4.4/5.0 **Total Reviews:** 145 **How Do G2 Users Rate Metabase?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.9/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Metabase?** - **Seller:** [Metabase](https://www.g2.com/sellers/metabase) - **Year Founded:** 2014 - **HQ Location:** Lucknow, Uttar Pradesh - **Twitter:** @metabase (8,751 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/6460313/ (125 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Mid-Market, 34% Small-Business #### What Are Metabase's Pros and Cons? **Pros:** - Ease of Use (11 reviews) - Implementation Ease (5 reviews) - Intuitive (5 reviews) - Data Visualization (4 reviews) - Easy Setup (4 reviews) **Cons:** - Slow Performance (5 reviews) - Missing Features (4 reviews) - Slow Loading (4 reviews) - Performance Issues (3 reviews) - Dashboard Issues (2 reviews) ### What Do G2 Reviewers Say About Metabase? *AI-generated summary from verified user reviews* **Pros:** - Users find Metabase to be **extremely easy to use** , facilitating quick report generation and simplified data exploration. - Users find Metabase's **implementation ease** remarkable, allowing quick data insights without complexity or heavy setup. - Users value the **intuitive interface** of Metabase, making data access and report generation effortless for everyone. - Users commend Metabase for its **user-friendly data visualization** , enabling easy chart creation for all team members. - Users praise the **easy setup** of Metabase, allowing quick connections to databases without complex configurations. **Cons:** - Users experience **slow performance** with Metabase, especially during high query volumes and with large datasets. - Users note the **missing features** in Metabase, particularly in visualizations and lack of integrated AI assistance. - Users often experience **slow loading times** with Metabase, causing queries to time out and dashboards to lag. - Users experience **performance issues** with Metabase, including lag and slow processing speeds, especially with large datasets. - Users feel that the **dashboard creation UI could be improved** for better visualization and chart options. #### What Are Recent G2 Reviews of Metabase? **"[User-Friendly and Developer-Friendly BI Tool That’s Easy to Get Started With](https://www.g2.com/survey_responses/metabase-review-12552560)"** **Rating:** 4.5/5.0 stars *— SAURABH B.* [Read full review](https://www.g2.com/survey_responses/metabase-review-12552560) --- **"[Intuitive, Cost-Effective BI That Streamlines Dashboards and Reporting](https://www.g2.com/survey_responses/metabase-review-12056142)"** **Rating:** 4.0/5.0 stars *— BHARAT SINGH B.* [Read full review](https://www.g2.com/survey_responses/metabase-review-12056142) --- #### What Are G2 Users Discussing About Metabase? - [What are the benefits and drawbacks of using Metabase for your data visualization needs?](https://www.g2.com/discussions/what-are-the-benefits-and-drawbacks-of-using-metabase-for-your-data-visualization-needs) - [What is Metabase used for?](https://www.g2.com/discussions/metabase-what-is-metabase-used-for) - 1 comment - [Is Metabase secure?](https://www.g2.com/discussions/is-metabase-secure) - 1 comment, 1 upvote - [Who uses Metabase?](https://www.g2.com/discussions/who-uses-metabase) - [Is Metabase free?](https://www.g2.com/discussions/is-metabase-free) - 2 comments ### 19. [ibi WebFOCUS](https://www.g2.com/products/ibi-webfocus/reviews) The ibi WebFOCUS® platform is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and powerful visualizations. Combining these capabilities and data science in one unified platform, the WebFOCUS solution helps make data-driven decisions across the enterprise providing reports, dashboards, and customer-facing applications at scale. **Average Rating:** 4.4/5.0 **Total Reviews:** 149 **How Do G2 Users Rate ibi WebFOCUS?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.0/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind ibi WebFOCUS?** - **Seller:** [ibi](https://www.g2.com/sellers/ibi-c9a17c70-0d20-476a-899c-480706dd4ce4) - **Year Founded:** 1975 - **HQ Location:** Fort Lauderdale, FL - **Twitter:** @infobldrs (32,864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/information-builders/ (894 employees on LinkedIn®) - **Phone:** 212-736-4433 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Government Administration - **Company Size:** 57% Enterprise, 32% Mid-Market #### What Are Recent G2 Reviews of ibi WebFOCUS? **"[MAKES DATA EASY!!!](https://www.g2.com/survey_responses/ibi-webfocus-review-719271)"** **Rating:** 5.0/5.0 stars *— Jill M.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-719271) --- **"[WebFOCUS - Best Product for Analytics](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981)"** **Rating:** 4.5/5.0 stars *— Sanford K.* [Read full review](https://www.g2.com/survey_responses/ibi-webfocus-review-4278981) --- #### What Are G2 Users Discussing About ibi WebFOCUS? - [What is TIBCO WebFOCUS used for?](https://www.g2.com/discussions/what-is-tibco-webfocus-used-for) ### 20. [Count](https://www.g2.com/products/count/reviews) Count is a modern data collaboration platform that helps data teams actually work together. It combines a data notebook with a real-time collaborative canvas for analysis and visualisation, so everyone can query, debug, and explore data in one place. Count replaces the mess of disconnected tools with a single workspace where analysts, engineers, and stakeholders can write SQL or Python, build visualisations, and share insights instantly. You can import and debug dbt models, see live results from connected CTEs, and export back to dbt Cloud, GitHub, or full SQL scripts. Used by over 500 data teams, including Accenture, Cleo AI, and Too Good To Go, Count helps teams move beyond static dashboards and focus on solving real business problems. It’s data collaboration that actually works. **Average Rating:** 4.8/5.0 **Total Reviews:** 103 **How Do G2 Users Rate Count?** - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.5/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Count?** - **Seller:** [Count Technologies](https://www.g2.com/sellers/count-technologies) - **Company Website:** https://count.co/ - **Year Founded:** 2016 - **HQ Location:** London, United Kingdom - **Twitter:** @counthq (2,104 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/counthq/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Analytics Engineer - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 79% Mid-Market, 11% Enterprise #### What Are Count's Pros and Cons? **Pros:** - Team Collaboration (34 reviews) - Ease of Use (28 reviews) - Customer Support (20 reviews) - Flexibility (20 reviews) - Data Visualization (19 reviews) **Cons:** - Learning Curve (18 reviews) - Slow Performance (9 reviews) - Limited Customization (7 reviews) - Missing Features (7 reviews) - Layout Issues (5 reviews) ### What Do G2 Reviewers Say About Count? *AI-generated summary from verified user reviews* **Pros:** - Users value the **collaborative approach** of Count, enhancing teamwork and real-time data sharing effectively. - Users value the **ease of use** in Count, simplifying data exploration and enhancing collaboration with intuitive tools. - Users highlight the **responsive customer support** of Count, appreciating quick assistance and a supportive community. - Users appreciate the **flexibility** of Count, allowing easy data analysis and collaboration for everyone, regardless of technical skills. - Users praise Count for its **powerful data visualization capabilities** , enhancing exploratory analysis and collaborative reporting effortlessly. **Cons:** - Users struggle with the **steep learning curve** of Count, especially those unfamiliar with canvas tools like Figma. - Users experience **slow performance** with large canvases in Count, making navigation and updates frustrating at times. - Users feel the product has **limited customization options** , hindering their ability to create tailored reports and visuals. - Users find **missing features** like natural-language queries and basic visuals limit Count's usability and flexibility. - Users experience **layout issues** that can lead to cluttered canvases, impacting navigation and data exploration workflows. #### What Are Recent G2 Reviews of Count? **"[Count Streamlines SQL, Python, and Collaborative Data Storytelling](https://www.g2.com/survey_responses/count-review-13126061)"** **Rating:** 4.5/5.0 stars *— Ravindra N.* [Read full review](https://www.g2.com/survey_responses/count-review-13126061) --- **"[Flexible, User-Friendly Collaboration for SQL & Python Analysis with Solid LLM Integration](https://www.g2.com/survey_responses/count-review-12870160)"** **Rating:** 4.5/5.0 stars *— Timothy L.* [Read full review](https://www.g2.com/survey_responses/count-review-12870160) --- ### 21. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 494 **How Do G2 Users Rate Altair AI Studio?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.5/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Altair AI Studio?** - **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7) - **Company Website:** https://www.altair.com/ - **Year Founded:** 1985 - **HQ Location:** Troy, MI - **LinkedIn® Page:** https://www.linkedin.com/company/8323/ (2,774 employees on LinkedIn®) - **Ownership:** NASDAQ:ALTR **Who Uses This Product?** - **Who Uses This:** Student, Data Scientist - **Top Industries:** Higher Education, Education Management - **Company Size:** 42% Small-Business, 30% Mid-Market #### What Are Altair AI Studio's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Machine Learning (8 reviews) - AI Integration (6 reviews) - AI Technology (5 reviews) - Automation (5 reviews) **Cons:** - Complexity (4 reviews) - Large Dataset Handling (3 reviews) - Slow Performance (3 reviews) - Complexity Issues (2 reviews) - Complex Usage (2 reviews) ### What Do G2 Reviewers Say About Altair AI Studio? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Altair AI Studio, benefiting from its intuitive drag-and-drop interface. - Users value the **ease of using machine learning without coding** , making it accessible and beneficial for education and organizations. - Users value the **seamless AI integration** of Altair AI Studio, enhancing decision making and efficiency in data analysis. - Users value the **advanced machine learning and analytics** in Altair AI Studio, enhancing decision-making and efficiency. - Users value the **automation features** of Altair AI Studio, streamlining processes and enhancing data analysis efficiency. **Cons:** - Users find the **complexity** of Altair AI Studio challenging, especially with integration and performance issues. - Users often face **slow performance with large datasets** , which can impact their overall experience with Altair AI Studio. - Users report experiencing **slow performance** with Altair AI Studio, especially when working with large or complex datasets. - Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support in Japanese. - Users find the **complex usage** of Altair AI Studio challenging due to steep learning curves and limited documentation. #### What Are Recent G2 Reviews of Altair AI Studio? **"[Essential Tool for Streamlined Sensor Analysis](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188)"** **Rating:** 5.0/5.0 stars *— Ayçe M.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188) --- **"[Great tool for easy data analysis and testing of AI models](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)"** **Rating:** 4.5/5.0 stars *— Sanjeet S.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088) --- #### What Are G2 Users Discussing About Altair AI Studio? - [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment - [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools) - [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source) - [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner) - [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit) ### 22. [Mode](https://www.g2.com/products/mode-mode/reviews) Mode is the first BI platform to embrace the way modern data teams work, which enables data leaders to drive more efficient, higher impact analysis and increased data maturity through true self-service. As the unified intelligence layer, Mode maximizes modern data stack ROI and turns data into a competitive advantage for leading businesses across all sectors and stages. **Average Rating:** 4.5/5.0 **Total Reviews:** 319 **How Do G2 Users Rate Mode?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.1/10 (Category avg: 8.4/10) - **Reports Interface:** 8.7/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Mode?** - **Seller:** [Mode Analytics, Inc.](https://www.g2.com/sellers/mode-analytics-inc) - **Year Founded:** 2013 - **HQ Location:** San Francisco, California - **Twitter:** @ModeAnalytics (6,658 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3307518/ (683 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Mid-Market, 29% Enterprise #### What Are Mode's Pros and Cons? **Pros:** - Capabilities (1 reviews) - Customization (1 reviews) - Ease of Implementation (1 reviews) - Ease of Use (1 reviews) - Efficiency (1 reviews) **Cons:** - Complex Setup (1 reviews) - Complex Usage (1 reviews) - Data Integration (1 reviews) - Difficult Learning (1 reviews) - Initial Difficulty (1 reviews) ### What Do G2 Reviewers Say About Mode? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **balance between analytics and self-service exploration** , enhancing visibility and usability across the organization. - Users value the **customization options** in Mode, enhancing usability for diverse roles and improving feature tracking. - Users find Mode's **ease of implementation** enhanced by SSO, facilitating organization-wide access and feature tracking. - Users appreciate the **ease of use** in Mode, benefiting from its clear interface and seamless implementation. - Users value the **efficiency** of Mode, benefiting from its clear visibility and useful scheduling options for data tracking. **Cons:** - Users find **complex setup** challenging, especially for less technical individuals needing considerable administrator support for integration. - Users find **complex usage** challenging, particularly for those less technical, needing significant admin support for integration. - Users find **on-boarding less technical users** challenging, as it requires significant admin support for data integration. - Users find **difficult learning** for less technical users, requiring significant admin support for effective onboarding. - Users find **initial difficulty** onboarding less technical users, requiring admin support for source authentication despite easy integration. #### What Are Recent G2 Reviews of Mode? **"[Powerful and Flexible platform for data driven decision making](https://www.g2.com/survey_responses/mode-review-11476277)"** **Rating:** 4.5/5.0 stars *— Gopi k.* [Read full review](https://www.g2.com/survey_responses/mode-review-11476277) --- **"[Outstanding!](https://www.g2.com/survey_responses/mode-review-7980594)"** **Rating:** 5.0/5.0 stars *— Stephan R.* [Read full review](https://www.g2.com/survey_responses/mode-review-7980594) --- ### 23. [Sisense](https://www.g2.com/products/sisense/reviews) Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. **Average Rating:** 4.2/5.0 **Total Reviews:** 986 **How Do G2 Users Rate Sisense?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.7/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Sisense?** - **Seller:** [Sisense, Inc.](https://www.g2.com/sellers/sisense-inc) - **Company Website:** https://www.sisense.com - **Year Founded:** 2004 - **HQ Location:** New York - **Twitter:** @Sisense (6,543 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/148828/ (546 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Product Manager - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Mid-Market, 24% Small-Business #### What Are Sisense's Pros and Cons? **Pros:** - Ease of Use (81 reviews) - Data Visualization (50 reviews) - Integrations (45 reviews) - Customer Support (40 reviews) - Dashboard Customization (38 reviews) **Cons:** - Learning Curve (37 reviews) - Missing Features (28 reviews) - Bugs (21 reviews) - Dashboard Issues (20 reviews) - Limited Customization (17 reviews) ### What Do G2 Reviewers Say About Sisense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** and simple design of Sisense, making BI accessible for everyone. - Users value the **intuitive data visualization** features of Sisense, which enable rapid and easy dashboard creation. - Users value the **easy integration** with multiple systems, enhancing overall workflow and functionality for developers. - Users praise the **helpful customer support** of Sisense, emphasizing responsiveness and effective assistance from CSMs. - Users value the **intuitive dashboard customization** in Sisense, enabling rapid development of engaging, actionable visualizations. **Cons:** - Users find the **learning curve steep** , with challenges in basic functionalities, training, and report organization. - Users find **missing features** to be a barrier, struggling with report customization, data models, and aggregations. - Users report frequent **bugs** and challenges with updates, formulas, visuals, and diminishing support quality in Sisense. - Users often struggle with **dashboard issues** like limited column resizing, poor report management, and difficult filter navigation. - Users find the **limited customization options** in Sisense complex, hindering their ability to create tailored dashboards. #### What Are Recent G2 Reviews of Sisense? **"[Customizable Dashboards, but Data Freshness Challenges](https://www.g2.com/survey_responses/sisense-review-8849455)"** **Rating:** 4.5/5.0 stars *— Chris P.* [Read full review](https://www.g2.com/survey_responses/sisense-review-8849455) --- **"[Powerful BI Tool with Flexible Customization](https://www.g2.com/survey_responses/sisense-review-8044935)"** **Rating:** 5.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/sisense-review-8044935) --- #### What Are G2 Users Discussing About Sisense? - [What is Sisense used for?](https://www.g2.com/discussions/sisense-what-is-sisense-used-for) - 1 comment - [What is Sisense Healthcare Analytics used for?](https://www.g2.com/discussions/what-is-sisense-healthcare-analytics-used-for) - [What does Sisense cost?](https://www.g2.com/discussions/what-does-sisense-cost) - [Who uses Sisense?](https://www.g2.com/discussions/who-uses-sisense) - 1 comment - [What is Sisense used for?](https://www.g2.com/discussions/what-is-sisense-used-for) - 2 comments ### 24. [Infor Birst](https://www.g2.com/products/infor-birst/reviews) Birst is a native cloud business intelligence (BI) and business analytics platform that helps organizations understand and optimize complex processes in less time than traditional BI solutions. Built with patented automation and machine learning technologies, Birst’s Data-as-a-Service approach connects teams and applications across the enterprise via a trusted network of analytics and insights to inform smarter decisions. This unique approach helps leading organizations leverage all their siloed and diverse data sources and extract insights to improve workforce productivity, asset optimization, process efficiencies, and customer satisfaction—often in 90 days or less. **Average Rating:** 4.0/5.0 **Total Reviews:** 84 **How Do G2 Users Rate Infor Birst?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10) - **Steps to Answer:** 8.3/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Infor Birst?** - **Seller:** [Infor](https://www.g2.com/sellers/infor) - **Year Founded:** 2002 - **HQ Location:** New York - **Twitter:** @Infor (18,472 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1711/ (22,257 employees on LinkedIn®) - **Phone:** 800-260-2640 **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Mid-Market, 34% Enterprise #### What Are Recent G2 Reviews of Infor Birst? **"[Excellent Business Intelligence Tool](https://www.g2.com/survey_responses/infor-birst-review-8159886)"** **Rating:** 5.0/5.0 stars *— Sakshi J.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8159886) --- **"[Birst BI Capabilities are better then its competitors](https://www.g2.com/survey_responses/infor-birst-review-8280183)"** **Rating:** 4.5/5.0 stars *— Sumer S.* [Read full review](https://www.g2.com/survey_responses/infor-birst-review-8280183) --- #### What Are G2 Users Discussing About Infor Birst? - [What is your experience with Infor Birst for business intelligence, and what features do you rely on?](https://www.g2.com/discussions/what-is-your-experience-with-infor-birst-for-business-intelligence-and-what-features-do-you-rely-on) - [What is Infor Birst used for?](https://www.g2.com/discussions/what-is-infor-birst-used-for) ### 25. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility. **Average Rating:** 4.2/5.0 **Total Reviews:** 328 **How Do G2 Users Rate Spotfire Analytics?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10) - **Steps to Answer:** 7.9/10 (Category avg: 8.4/10) - **Reports Interface:** 8.3/10 (Category avg: 8.7/10) - **Calculated Fields:** 8.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Spotfire Analytics?** - **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/spotfire/ (103 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Manager - **Top Industries:** Oil & Energy, Information Technology and Services - **Company Size:** 52% Enterprise, 26% Mid-Market #### What Are Spotfire Analytics's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Data Visualization (14 reviews) - Insights (11 reviews) - Easy Integrations (10 reviews) - Features (10 reviews) **Cons:** - Learning Curve (8 reviews) - Learning Difficulty (6 reviews) - Expensive (5 reviews) - Steep Learning Curve (4 reviews) - Complexity (3 reviews) ### What Do G2 Reviewers Say About Spotfire Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users find Spotfire's **ease of use** exceptional, enabling quick data visualization even for complex datasets. - Users appreciate the **powerful and flexible data visualization capabilities** of Spotfire Analytics, making complex data exploration effortless. - Users praise **Spotfire Analytics for transforming complex data into user-friendly interactive visualizations** , making analysis accessible to all team members. - Users praise the **easy integrations** of Spotfire Analytics, seamlessly connecting diverse data sources for powerful analysis. - Users love Spotfire Analytics for its **seamless integration and powerful visualization features** , enhancing decision-making and saving valuable time. **Cons:** - Users find the **learning curve steep** for Spotfire Analytics, particularly with advanced features and data modeling skills. - Users find **learning difficult** due to the overwhelming number of functions and complex features in Spotfire Analytics. - Users find Spotfire Analytics to be **relatively expensive** compared to competitors, with high licensing and maintenance costs. - Users find the **steep learning curve** of Spotfire Analytics challenging, especially regarding advanced features and user interface. - Users often find the **complexity of Spotfire Analytics** overwhelming initially, especially those new to data modeling or scripting. #### What Are Recent G2 Reviews of Spotfire Analytics? **"[Where data science becomes visual—and actually useful!](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595)"** **Rating:** 5.0/5.0 stars *— Leandro A.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11661595) --- **"[A Comprehensive Analytics Platform for Deep, Real-Time Data Insights](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634)"** **Rating:** 5.0/5.0 stars *— Manan B.* [Read full review](https://www.g2.com/survey_responses/spotfire-analytics-review-11828634) --- #### What Are G2 Users Discussing About Spotfire Analytics? - [What is TIBCO Spotfire used for?](https://www.g2.com/discussions/what-is-tibco-spotfire-used-for) - 1 comment - [What is TIBCO Data Science used for?](https://www.g2.com/discussions/what-is-tibco-data-science-used-for) - [Is Tibco Spotfire free?](https://www.g2.com/discussions/is-tibco-spotfire-free) - 2 comments - [What is most like Tibco Spotfire?](https://www.g2.com/discussions/what-is-most-like-tibco-spotfire) - 1 comment - [What's New In Tibco Spotfire?](https://www.g2.com/discussions/what-s-new-in-tibco-spotfire) - 1 comment ## 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.