# Best Analytics Platforms for Small Business *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* Products classified in the overall Analytics Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small Business Analytics Platforms category. In addition to qualifying for inclusion in the Analytics Platforms category, to qualify for inclusion in the Small Business Analytics Platforms category, a product must have at least 10 reviews left by a reviewer from a small business. ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 334 ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 27,200+ Authentic Reviews - 334+ 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. ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,563 reviews) | Microsoft-connected interactive dashboards | "[Microsoft Power BI Turns Raw Data into Clear, Interactive Dashboards Fast](https://www.g2.com/survey_responses/microsoft-power-bi-review-12678340)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,534 reviews) | Flexible visual dashboard exploration | "[Effortless Data Visualization, High Licensing Costs](https://www.g2.com/survey_responses/tableau-review-12793833)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (754 reviews) | Cloud analytics for governed data science | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 4 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (742 reviews) | Governed lakehouse analytics and ML workflows | "[Perfect for Cross-team Collaboration and Intensive Data Applications](https://www.g2.com/survey_responses/databricks-review-12745626)" | | 5 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,572 reviews) | Governed shared BI metrics | "[All Our Metrics in One Place with a User-Friendly, Easy-to-Navigate Looker UI](https://www.g2.com/survey_responses/looker-review-12585179)" | | 6 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (987 reviews) | Centralized self-service business dashboards | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | | 7 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (543 reviews) | Warehouse-native spreadsheet-style analytics | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (252 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 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (671 reviews) | AWS-native serverless BI dashboards | "[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)" | | 10 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (387 reviews) | SQL and Python notebook analytics apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | ## Which Type of Analytics Platforms Tools Are You Looking For? - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) *(current)* - [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) --- **Sponsored** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=620&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms&secure%5Btoken%5D=91c7555ed032f1cc20ad6ad7101a17abc10a0150acf391442d63644d7403ce41&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial) --- ## Buyer Guide: Key Questions for Choosing Analytics Platforms Software ### What do Analytics Platforms do? When I explain analytics platforms, I frame them as systems that help teams turn business data into usable insight. These platforms bring dashboards, reports, data modeling, metric exploration, visualizations, and insight sharing into one workflow. Instead of relying on scattered spreadsheets, static reports, or disconnected data views, teams can access information faster, understand performance more clearly, and make decisions with more confidence. ### Why do businesses use Analytics Platforms? From the G2 reviewer patterns I evaluated, businesses use Analytics Platforms because data sits across many systems and takes too much manual effort to organize. Users mention fragmented reports, delayed insight, inconsistent metrics, and hard-to-present data. Common benefits include: - Faster dashboard and report creation. - Clearer visibility into KPIs, sales, marketing, operations, and product data. - Stronger exploration through filters, drilldowns, SQL, and visual workflows. - Easier sharing of insights with teams and stakeholders. - Better integration with databases, cloud platforms, spreadsheets, CRM tools, and warehouses. ### Who uses Analytics Platforms primarily? After I evaluated G2 reviewer roles, I found that Analytics Platforms serve technical and business users. - **Data analysts** build dashboards, reports, and recurring performance views. - **BI teams** manage metrics, models, and governed workflows. - **Data engineers** connect sources and prepare datasets. - **Data scientists** use notebooks, models, and advanced analytics features. - **Business analysts** translate data into operational decisions. - **Executives** use dashboards to understand trends. ### What types of Analytics Platforms should I consider? From the way reviewers describe the category, buyers should compare several product types: - **BI and dashboard platforms** for reports, visualization, and executive views. - **Self-service analytics tools** for fast business exploration. - **Cloud analytics platforms** for larger datasets and scalable processing. - **Data science and notebook platforms** for SQL, Python, models, and collaboration. - **Embedded analytics tools** for customer-facing dashboards. - **Semantic layer platforms** for shared metrics and reusable definitions. ### What are the core features to look for in Analytics Platforms? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Dashboard and report builders with flexible layouts that help teams organize business data into views people can actually use. - Data visualization, charting, and interactive filters that help users explore trends, compare performance, and understand metrics faster. - Connectors for databases, spreadsheets, cloud tools, and business applications that help bring data from different systems into one place. - SQL support, data modeling, and calculated metrics that help analysts define, structure, and customize business logic. - AI-assisted search or automated insights that help users find patterns and answers without building every report manually. - Collaboration, permissions, scheduled delivery, and sharing controls that help teams distribute insights securely and consistently. - Performance controls for complex dashboards that help reports load reliably even when data volume or usage grows. - Documentation, training resources, and responsive support that help teams onboard faster and troubleshoot issues with less friction. ### What trends are shaping Analytics Platforms right now? From the G2 review patterns I evaluated, several trends stand out: - **AI-assisted analytics** is helping users ask questions, generate summaries, and discover insights faster. - **Self-service reporting** is becoming more important as business teams look for answers without depending on analysts for every request. - **Cloud and application integrations** are expanding as companies connect analytics platforms to more data sources and business systems. - **Governed metrics and semantic layers** are gaining value as teams work to keep definitions consistent across dashboards and reports. - **Performance optimization** remains a priority as users expect complex dashboards to load quickly and reliably. - **Usability and guided setup** are shaping adoption as buyers look for platforms that are powerful without creating a steep learning curve. ### How should I choose Analytics Platforms? For me, the strongest Analytics Platforms fit depends on data sources, governance needs, and scale. I would prioritize products reviewers praise for intuitive dashboards, flexible visualization, strong integrations, reliable performance, and clear collaboration. I would also examine concerns around customization, complex setup, pricing, learning curve, and AI accuracy before making a final choice. --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [Tableau](https://www.g2.com/products/tableau/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 3,534 **Why buyers love it?:** A recurring pattern in Tableau’s G2 feedback when I reviewed it was that its strength in visual exploration across varied data sources. Reviewers highlight simple dashboard creation, flexible integrations, clear KPI views, and fast access to business insights for sales, operations, and leadership use cases. The product reads as a fit for teams that want polished visual dashboards and interactive data exploration across multiple systems. Users also note friction with dashboard layout control, data prep, live connection speed, pricing, and some API gaps. ### What Do G2 Reviewers Say About Tableau? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy Tableau's **ease of use** , allowing them to create complex dashboards with minimal coding skills. - Users value Tableau for its **interactive dashboards** , which enhance data visibility and decision-making through seamless integration. - Users highlight the **powerful data visualization** of Tableau, enabling clear, interactive dashboards for informed decision-making. - Users value the **interactive dashboards** of Tableau, enhancing data visualization and decision-making with minimal coding required. - Users find Tableau **intuitive** , enabling easy dashboard creation and effective data visualization without extensive coding. **Cons:** - Users find the **learning curve steep** , making it challenging for new users to effectively navigate Tableau. - Users encounter a **steep learning curve** with Tableau, making it challenging for newcomers to become proficient quickly. - Users find Tableau's **high licensing cost** discouraging, especially for smaller teams, impacting accessibility and performance. - Users experience **slow performance** with large datasets in Tableau, often due to high resource demands and timeout issues. - Users find **onboarding to be complex** , noting that even simple tasks require extra steps in Tableau. #### Key Features - Steps to Answer - Calculated Fields - Predictive Analytics - Data Modeling - Data Mining #### What Are Recent G2 Reviews of Tableau? **"[Effortless Data Visualization, High Licensing Costs](https://www.g2.com/survey_responses/tableau-review-12793833)"** **Rating:** 4.0/5.0 stars *— Atharva P.* [Read full review](https://www.g2.com/survey_responses/tableau-review-12793833) --- **"[Instant Insights with Interactive Dashboards](https://www.g2.com/survey_responses/tableau-review-12784839)"** **Rating:** 5.0/5.0 stars *— Rahul S.* [Read full review](https://www.g2.com/survey_responses/tableau-review-12784839) --- #### What Are G2 Users Discussing About Tableau? - [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments - [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for) - [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments ### 2. [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,563 **Why buyers love it?:** When I reviewed Microsoft Power BI’s G2 feedback, the strongest theme was its role in turning complex datasets into interactive dashboards inside a familiar Microsoft environment. Reviewers highlight Excel, Azure, SQL Server, and broader Microsoft integrations, along with visuals that make analysis easier to share. The product reads as a strong fit for teams that need dashboard creation, data modeling, and business reporting connected to existing Microsoft workflows. Users also cite a learning curve for advanced DAX, performance strain with very large datasets, customization limits, licensing complexity, and occasional refresh issues. ### What Do G2 Reviewers Say About Microsoft Power BI? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Microsoft Power BI, enabling effortless data analysis for everyone. - Users value the **data visualization capabilities** of Power BI, enhancing insights and reporting with ease. - Users appreciate the **seamless integrations** in Power BI, enabling efficient data usage across various platforms and databases. - Users value the **advanced data analysis and visualization** capabilities of Microsoft Power BI for insightful reporting. - Users value the **seamless data integration** capabilities of Power BI, allowing connections to numerous data sources effortlessly. **Cons:** - Users find the **learning curve challenging** , especially for beginners trying to master data connections and DAX. - Users experience **slow performance** with Microsoft Power BI, especially when handling large datasets and complex data models. - Users experience **performance issues** with DAX queries and large data volumes, affecting overall efficiency and usability. - Users find the **complex data modeling** in Power BI challenging, leading to a steep learning curve and potential frustration. - Users find the **limited customization options** in Microsoft Power BI restrictive, hindering effective data presentation. #### Key Features - Reports Interface - Data Column Filtering - Predictive Analytics - Data Modeling - Connectors #### What Are Recent G2 Reviews of Microsoft Power BI? **Rating:** 5.0/5.0 stars *— Anderson F.* [Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-12794774) --- **"[Microsoft Power BI Turns Raw Data into Clear, Interactive Dashboards Fast](https://www.g2.com/survey_responses/microsoft-power-bi-review-12678340)"** **Rating:** 5.0/5.0 stars *— Anil B.* [Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-12678340) --- #### What Are G2 Users Discussing About Microsoft Power BI? - [What is Microsoft Power BI Desktop used for?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop-used-for) - 4 comments, 1 upvote - [What are some of the top features of Microsoft BI?](https://www.g2.com/discussions/what-are-some-of-the-top-features-of-microsoft-bi) - 3 comments - [Is Power BI a Microsoft tool?](https://www.g2.com/discussions/is-power-bi-a-microsoft-tool) - 5 comments, 3 upvotes ### 3. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 754 **Why buyers love it?:** The signal I found in SAS Viya’s G2 feedback was its appeal for advanced analytics work that spans coding, model development, and cloud-scale data processing. Reviewers highlight strong performance, memory handling, multi-language support, and a modern environment that extends familiar SAS workflows. The product reads as a fit for organizations that need statistical analysis, machine learning, and governed analytics in a cloud-based platform. Users also mention setup complexity, a steep learning curve for new users, migration friction from older SAS environments, and high licensing or implementation costs. ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of SAS Viya, making data analysis accessible to all skill levels. - Users value the **robust analytics capabilities** of SAS Viya, enabling effective decision-making across various industries. - Users appreciate the **advanced analytics capabilities** of SAS Viya, enhancing decision-making and providing critical business insights. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insights and predictive analysis capabilities. - Users appreciate the **user-friendly interface** of SAS Viya, which simplifies analytics for various technical skill levels. **Cons:** - Users find SAS Viya **difficult for non-technical users** , struggling with navigation and overall user-friendliness. - Users find the **learning curve steep** , making it challenging for non-technical users to navigate and utilize SAS Viya effectively. - Users find the **visualization complexity** of SAS Viya challenging, especially for non-technical users and newcomers. - Users find the **difficult learning curve** of SAS Viya challenging, especially for new and non-technical users. - Users find the **expensive pricing** of SAS Viya to be a significant drawback, affecting initial engagement decisions. #### Key Features - Steps to Answer - Calculated Fields - Data Visualization - WYSIWYG Report Design - Data Visualizations #### What Are Recent G2 Reviews of SAS Viya? **"[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)"** **Rating:** 4.5/5.0 stars *— Venkatesh D.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-12682824) --- **"[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)"** **Rating:** 5.0/5.0 stars *— Deependra G.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11702846) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 1 comment ### 4. [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 671 **Why buyers love it?:** Amazon QuickSight’s G2 feedback pointed to a product valued most when analytics sits close to AWS data and infrastructure. Reviewers highlight serverless setup, AWS integration, SPICE performance, calculated metrics, interactive dashboards, live data updates, and newer AI-assisted exploration features. From my evaluation, the product reads as a fit for teams that want BI dashboards inside an AWS-centered environment without heavy infrastructure management. Users also mention limited visual customization, fewer chart options, a less intuitive interface, slower downloads, and a learning curve for non-technical users. ### What Do G2 Reviewers Say About Amazon QuickSight? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless integration with AWS services** that enhances dashboard creation and data insights. - Users find Amazon QuickSight to be **easy to use** , facilitating quick integration and dashboard creation with minimal effort. - Users praise the **easy integrations** of Amazon QuickSight with AWS resources, streamlining data analysis and decision-making. - Users value the **powerful data visualization** capabilities of Amazon QuickSight, enabling quick insights from large datasets. - Users appreciate the **intuitive dashboard creation** in Amazon QuickSight, enhancing data accessibility and decision-making efficiency. **Cons:** - Users find the **limited customization** of Amazon QuickSight frustrating, especially compared to more flexible BI tools. - Users find the **learning curve challenging** , requiring basic AWS knowledge to effectively utilize QuickSight's features. - Users note the **limited visualization options** in Amazon QuickSight, impacting usability and customization possibilities. - Users note the **missing features** in QuickSight, limiting customization and advanced visualization compared to competitors. - Users find the **poor interface design** of Amazon QuickSight complicates usability, especially for advanced features and new users. #### Key Features - Reports Interface - Calculated Fields - Data Visualization - Data Transformation - Scripting #### What Are Recent G2 Reviews of Amazon QuickSight? **"[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)"** **Rating:** 4.0/5.0 stars *— Aviral G.* [Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199) --- **"[Amazon QuickSight’s New QuickSuite UI and Chat/AI Search Make Reporting Easier](https://www.g2.com/survey_responses/amazon-quicksight-review-12532508)"** **Rating:** 5.0/5.0 stars *— SAURABH B.* [Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-12532508) --- #### What Are G2 Users Discussing About Amazon QuickSight? - [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote - [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote - [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote ### 5. [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 416 **Why buyers love it?:** Yellowfin BI’s G2 feedback centered on making analytics more approachable through guided dashboard and report experiences. Reviewers highlight intuitive navigation, drag-and-drop report creation, visual exploration, automated insights, data storytelling, and browser or mobile access. To me the product reads as a fit for teams that want BI outputs that explain results rather than only display charts. Users also cite slower performance with complex datasets, advanced-feature learning effort, and a need for stronger tutorials and enablement resources. ### What Do G2 Reviewers Say About Yellowfin BI? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of Yellowfin BI, enabling effortless dashboard and report creation for all skill levels. - Users value the **quality and ease of stunning, customizable dashboards** in Yellowfin BI for impactful data insights. - Users value the **intuitive dashboard customization** of Yellowfin BI, enhancing their ability to create impactful reports easily. - Users find Yellowfin BI to be **intuitive and user-friendly** , making it essential for efficient data analysis and insights. - Users value the **automated report generation** in Yellowfin BI, enhancing efficiency and decision-making through insightful analytics. **Cons:** - Users find the **learning curve steep** , especially for advanced features and customization, requiring technical expertise initially. - Users face **slow performance** when exporting reports, especially with large datasets, causing crashes and frustrating experiences. - Users experience **performance issues** when handling large data sets, impacting report refresh and export capabilities. - Users experience **performance issues** , particularly with large datasets and problematic report exports that often crash. - Users feel that Yellowfin BI has **limited customization** , making it less suitable for advanced analytics and unique visual designs. #### Key Features - Reports Interface - Collaboration / Workflow - Data Visualization - Data Transformation - Connectors #### What Are Recent G2 Reviews of Yellowfin BI? **"[Yellowfin BI Excels at Data Storytelling, Collaboration, and AI-Assisted Insights](https://www.g2.com/survey_responses/yellowfin-bi-review-12809222)"** **Rating:** 4.5/5.0 stars *— Rinalon E.* [Read full review](https://www.g2.com/survey_responses/yellowfin-bi-review-12809222) --- **"[Good Balance of Ease-of-Use and Functionality for HR Case Reporting](https://www.g2.com/survey_responses/yellowfin-bi-review-12159531)"** **Rating:** 5.0/5.0 stars *— Jose G.* [Read full review](https://www.g2.com/survey_responses/yellowfin-bi-review-12159531) --- #### What Are G2 Users Discussing About Yellowfin BI? - [What is Yellowfin BI used for?](https://www.g2.com/discussions/what-is-yellowfin-bi-used-for) - [What should I look for in a BI tool?](https://www.g2.com/discussions/what-should-i-look-for-in-a-bi-tool) - [What is the best BI software?](https://www.g2.com/discussions/what-is-the-best-bi-software) - 1 comment ### 6. [Deepnote](https://www.g2.com/products/deepnote/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 377 **Product Description:** 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. ### What Do G2 Reviewers Say About Deepnote? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Deepnote, enabling quick collaboration and efficient task management with a simple interface. - Users appreciate the **real-time collaboration** features of Deepnote, enhancing teamwork for data analysis and project sharing. - Users appreciate the **easy integrations** of Deepnote, simplifying connections to data tools like Redshift and S3. - Users value the **collaborative capabilities** of Deepnote, enhancing teamwork and streamlining dataset generation across teams. - Users value the **easy data management** in Deepnote, enhancing collaboration through seamless integrations and visualizations. **Cons:** - Users find the **slow performance** of Deepnote frustrating, especially with large datasets and in low-connectivity situations. - Users find **limited features** in Deepnote, especially lacking essential options for seamless data manipulation and version control. - Users experience **data management issues** with Deepnote, facing challenges like context loss and import statement problems. - Users note the **missing features** in Deepnote, highlighting the need for SQL querying across dataframes and Git integration. - Users find Deepnote **lacking features** , particularly in project awareness, visualization tools, and inline editing speed. #### What Are Recent G2 Reviews of Deepnote? **"[Deepnote’s Real-Time Collaboration and Cloud Notebooks Shine](https://www.g2.com/survey_responses/deepnote-review-12687317)"** **Rating:** 5.0/5.0 stars *— Jolina Mae A.* [Read full review](https://www.g2.com/survey_responses/deepnote-review-12687317) --- **"[Clarity for complex nutrition work](https://www.g2.com/survey_responses/deepnote-review-12699174)"** **Rating:** 5.0/5.0 stars *— Marine A.* [Read full review](https://www.g2.com/survey_responses/deepnote-review-12699174) --- #### 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 ### 7. [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 558 **Product Description:** 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. ### What Do G2 Reviewers Say About GoodData.AI? *AI-generated summary from verified user reviews* **Pros:** - Users find GoodData's **ease of use** exceptional, with an intuitive UI and quick integration enhancing their experience. - Users appreciate the **ease of data visualization** in GoodData, enhancing their ability to analyze and present metrics effectively. - Users appreciate the **quick integration with other systems** , enhancing their ability to customize and manage dashboards effortlessly. - Users find GoodData's **intuitive interface** makes it easy for new users to navigate and utilize its features effectively. - Users value the **customization** options in GoodData, enhancing flexibility and enabling tailored business insights efficiently. **Cons:** - Users find the **learning curve steep** for GoodData, especially for those unfamiliar with relational databases. - Users find the **learning difficulty** with GoodData challenging, especially for those unfamiliar with relational databases. - Users highlight the **missing features** in GoodData, noting limitations in customization, performance, and documentation support. - Users find GoodData's interface **complex to navigate** , especially when dealing with intricate data models and features. - Users find the **limited customization** options of GoodData frustrating, hindering their ability to tailor solutions effectively. #### What Are Recent G2 Reviews of GoodData.AI? **"[Saves Time with Multi-Source Metrics and Flexible, Customizable Dashboards](https://www.g2.com/survey_responses/gooddata-ai-review-12550554)"** **Rating:** 4.0/5.0 stars *— Martin P.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-12550554) --- **"[GoodData Saves Time with an Intuitive, Executive-Ready Dashboard](https://www.g2.com/survey_responses/gooddata-ai-review-12623029)"** **Rating:** 5.0/5.0 stars *— Dibyendu G.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-12623029) --- ### 8. [Looker](https://www.g2.com/products/looker/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 1,572 **Why buyers love it?:** In Looker’s G2 feedback, the most consistent thread was governed data access paired with shareable dashboards. Reviewers highlight quick report creation, GA and business dashboard use cases, flexible customization, team sharing, and integrations that help stakeholders review common metrics. The product reads to me as a fit for organizations that need reusable BI views and consistent reporting across teams. Users also cite slow performance in large dashboards, limits around custom metrics or plots, manual blending, dated chart experiences, and a learning curve. ### What Do G2 Reviewers Say About Looker? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **ease of use** of Looker, enabling quick dashboard creation and data sharing for informed decisions. - Users value the **centralized dashboards and real-time insights** in Looker, enhancing data-driven decision-making across teams. - Users value the **easy integrations** of Looker, enhancing collaboration and streamlining data analysis across platforms. - Users appreciate the **easy integration** with various data sources, enabling seamless collaboration and interactive reporting. - Users highlight the **flexibility in data visualization** with Looker, enabling tailored insights for specific reporting needs. **Cons:** - Users find the **learning curve challenging** , particularly for those with limited IT literacy or beginner experience. - Users note the **steep learning curve** of Looker, finding its complexity and LookML challenging to navigate. - Users experience **slow loading times** with large datasets, hindering functionality and impacting user friendliness. - Users experience **slow performance** with Looker, facing long loading times and lagging user interface issues. - Users find the **complexity** of Looker daunting, particularly with its non-intuitive learning curve and heavy reliance on code. #### Key Features - Steps to Answer - Search - Predictive Analytics - Integration APIs - Retroactive Reporting #### What Are Recent G2 Reviews of Looker? **"[Transforms Data, But Challenging for Beginners](https://www.g2.com/survey_responses/looker-review-12784757)"** **Rating:** 5.0/5.0 stars *— Rahul S.* [Read full review](https://www.g2.com/survey_responses/looker-review-12784757) --- **"[All Our Metrics in One Place with a User-Friendly, Easy-to-Navigate Looker UI](https://www.g2.com/survey_responses/looker-review-12585179)"** **Rating:** 4.5/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/looker-review-12585179) --- #### What Are G2 Users Discussing About Looker? - [What is Looker used for?](https://www.g2.com/discussions/what-is-looker-used-for) - 1 comment - [Why is looker so powerful?](https://www.g2.com/discussions/why-is-looker-so-powerful) - [Is looker an ETL tool?](https://www.g2.com/discussions/is-looker-an-etl-tool) - 3 comments ### 9. [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 394 **Why buyers love it?:** IBM Cognos Analytics’ G2 feedback focused on report creation, dashboard delivery, and access to historical business data. Reviewers highlight clear visual outputs, customizable reports, long-range order or transaction history, Excel export, and support for executive-facing presentations. The product reads as a fit for enterprises that need structured BI reporting with flexible views of established business data. Users also cite an outdated interface, slow report generation, a learning curve for new users, and complexity in advanced report creation. ### What Do G2 Reviewers Say About IBM Cognos Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in IBM Cognos Analytics, praising its intuitive interface and drag-and-drop functionality. - Users commend the **easy report generation** in IBM Cognos Analytics, enhancing their data analysis capabilities efficiently. - Users value the **in-depth analytics and adaptable dashboards** in IBM Cognos Analytics for effective data insights. - Users appreciate the **effortless data visualization** of IBM Cognos Analytics, enhancing understanding through engaging dashboards and reports. - Users appreciate the **intuitive user interface** of IBM Cognos Analytics, making data understanding effortless and engaging. **Cons:** - Users face a **challenging learning curve** with IBM Cognos Analytics, requiring time and training to master its functionality. - Users find the **learning difficulty** of IBM Cognos Analytics challenging, requiring extensive training and practice to navigate effectively. - Users experience **slow performance** with complex reports, affecting efficiency and interaction during virtual meetings. - Users find the **complexity** of IBM Cognos Analytics challenging, especially with report building and feature accessibility. - Users find the **complex usage** of IBM Cognos Analytics challenging, especially for new users navigating advanced features. #### Key Features - Reports Interface - Data Column Filtering - Predictive Analytics - Data Transformation - Connectors #### What Are Recent G2 Reviews of IBM Cognos Analytics? **"[Powerful Data Analysis with Intuitive Drag-and-Drop Visualizations](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12153976)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12153976) --- **"[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018) --- #### What Are G2 Users Discussing About IBM Cognos Analytics? - [What is IBM Cognos Analytics with Watson used for?](https://www.g2.com/discussions/what-is-ibm-cognos-analytics-with-watson-used-for) - 1 comment ### 10. [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 412 **Product Description:** Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions. ### What Do G2 Reviewers Say About Splunk Enterprise? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Splunk Enterprise, making implementation and integration straightforward and efficient. - Users appreciate the **efficient log management** capabilities of Splunk Enterprise for accurate analysis and insights. - Users value the **intuitive and versatile dashboards** in Splunk Enterprise for efficient observability and security event management. - Users value Splunk Enterprise for its **robust data ingestion** , seamlessly handling diverse data for efficient analysis and alerts. - Users value the **intuitive dashboards** of Splunk Enterprise, making observability and security event viewing seamless and efficient. **Cons:** - Users find Splunk Enterprise to be **expensive** , particularly as data volume increases, impacting small teams' operational efficiency. - Users face a **steep learning curve** with Splunk Enterprise, making it challenging for beginners to navigate its features. - Users note the **high resource consumption** of Splunk Enterprise, driving up costs and complicating management for smaller teams. - Users find the **licensing costs to be high** , especially for enterprise-level organizations managing large data workloads. - Users find the **pricing issues** of Splunk Enterprise concerning, especially regarding high costs and unclear policies post-acquisition. #### What Are Recent G2 Reviews of Splunk Enterprise? **"[Splunk Enterprise Makes Endpoint Data Collection and Troubleshooting Easy at Scale](https://www.g2.com/survey_responses/splunk-enterprise-review-6749798)"** **Rating:** 4.0/5.0 stars *— Robert B.* [Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-6749798) --- **"[SPL search and dashboards are really useful](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)"** **Rating:** 4.0/5.0 stars *— Nishith J.* [Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655) --- #### What Are G2 Users Discussing About Splunk Enterprise? - [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment - [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment - [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment ### 11. [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 315 **Product Description:** ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot. ### What Do G2 Reviewers Say About ThoughtSpot? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of ThoughtSpot, enabling quick insights and straightforward data interpretation. - Users value the **real-time insights** from ThoughtSpot, which drive organizational growth with actionable AI analytics. - Users value the **comprehensive analytics** provided by ThoughtSpot, enabling deep insights and efficient data management. - Users value the **intuitive search-based interface** of ThoughtSpot, making data analytics accessible for everyone. - Users appreciate the **great data visualization** in ThoughtSpot, making complex information easy to understand and analyze. **Cons:** - Users note a **learning curve** for ThoughtSpot, requiring time to master its advanced features effectively. - Users find the **missing features** in ThoughtSpot, including underwhelming visuals and limited reusability, frustrating. - Users face a **learning difficulty** with ThoughtSpot initially, requiring time and IT support to master its features. - Users find ThoughtSpot's **complexity in data modeling** challenging, especially when dealing with large data structures. - Users find **limited customization** in ThoughtSpot, particularly in search visualization, essential for maximizing its potential. #### What Are Recent G2 Reviews of ThoughtSpot? **"[Intuitive Natural Language Analytics That Speeds Insights and Integrates Smoothly with Snowflake](https://www.g2.com/survey_responses/thoughtspot-review-12714758)"** **Rating:** 4.5/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-12714758) --- **"[Revolutionized Insights with Conversational AI](https://www.g2.com/survey_responses/thoughtspot-review-12592167)"** **Rating:** 5.0/5.0 stars *— Farid V.* [Read full review](https://www.g2.com/survey_responses/thoughtspot-review-12592167) --- #### What Are G2 Users Discussing About ThoughtSpot? - [What is ThoughtSpot used for?](https://www.g2.com/discussions/thoughtspot-what-is-thoughtspot-used-for) - [What does ThoughtSpot do?](https://www.g2.com/discussions/what-does-thoughtspot-do) - 1 comment - [Is ThoughtSpot a public company?](https://www.g2.com/discussions/is-thoughtspot-a-public-company) ### 12. [Hex](https://www.g2.com/products/hex-tech-hex/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 387 **Why buyers love it?:** The pattern that I found in Hex’s G2 feedback was its usefulness for analysts who move between code, notebooks, and shareable data apps. Reviewers highlight an intuitive interface, SQL and Python in one workspace, AI-assisted query and chart generation, custom controls, and flexible exploration. The product reads as a fit for teams that want collaborative analysis to move from notebook work into stakeholder-facing outputs. Users also cite heavy-query slowness, app-builder layout constraints, connection stability issues, CSV handling problems, and challenges preserving ad hoc results. ### What Do G2 Reviewers Say About Hex? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** of Hex, highlighting its seamless integrations and user-friendly interface for data analysis. - Users value the **ease of combining SQL with Python** , enhancing accessibility for data analysis and visualization. - Users admire the **user-friendly data management** of Hex, valuing seamless integration and powerful analytics capabilities. - Users appreciate the **SQL querying capabilities** of Hex, enhancing their data analysis with AI and seamless integrations. - Users appreciate the **seamless integration of SQL and Python** in Hex, enhancing efficiency in data analysis and visualization. **Cons:** - Users note the **limited features** of HEX, citing a need for more graph types and styling options for better analysis. - Users find **missing features** in Hex, particularly in data privacy controls and advanced analytics capabilities. - Users find Hex **lacking crucial features** , limiting control over data management and impacting overall performance and usability. - Users express frustration over **limited visualization capabilities** in Hex, struggling with data size and filter options. - Users face **data management issues** such as confusing CTE usage, organization problems, and limited data access across projects. #### Key Features - Steps to Answer - Collaboration / Workflow - Predictive Analytics - WYSIWYG Report Design - Drag and Drop #### What Are Recent G2 Reviews of Hex? **"[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)"** **Rating:** 5.0/5.0 stars *— Hunter P.* [Read full review](https://www.g2.com/survey_responses/hex-review-12262172) --- **"[Amazing AI and SQL Autocomplete That Speeds Up My Work](https://www.g2.com/survey_responses/hex-review-12687305)"** **Rating:** 4.0/5.0 stars *— Paco R.* [Read full review](https://www.g2.com/survey_responses/hex-review-12687305) --- #### What Are G2 Users Discussing About Hex? - [What is Hex Technologies used for?](https://www.g2.com/discussions/what-is-hex-technologies-used-for) ### 13. [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 543 **Why buyers love it?:** The clearest pattern I saw in Sigma’s G2 feedback was its appeal to teams that want cloud-warehouse data in a familiar analytical interface. Reviewers highlight easy access to critical data, dashboard interactivity, large dataset handling, Snowflake connectivity, and the ability to explore data directly inside workbooks. The product reads as a fit for business and data teams that need self-service analytics without removing data from the warehouse context. Users also cite workbook performance issues, advanced-feature complexity, limited visual customization, and some database compatibility gaps. ### What Do G2 Reviewers Say About Sigma? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Sigma, highlighting its intuitive design and simplicity for quick onboarding. - Users love Sigma for its **easy integration and intuitive interface** , enabling seamless data management and dashboard customization. - Users commend the **excellent customer support** of Sigma, noting responsiveness and helpfulness with their inquiries. - Users find Sigma's **data visualization capabilities** exceptional, simplifying complex data processing and enhancing dashboard creation. - Users appreciate the **easy data aggregation** capabilities of Sigma, streamlining processing and visualization for improved project completion. **Cons:** - Users experience **slow loading times** with Sigma, which can lead to inefficiencies and frustration in usage. - Users experience **slow performance** with Sigma, especially when connecting to large data sources, leading to frustration. - Users express frustration with the **limited customization** options for visuals and dashboard layouts in Sigma. - Users find the **learning curve steep** , requiring guidance to effectively build dashboards in Sigma initially. - Users find Sigma lacking in **essential features** , impacting functionality and limiting advanced analytics capabilities. #### Key Features - Reports Interface - Data Column Filtering - Big Data Services - Data Transformation - Connectors #### What Are Recent G2 Reviews of Sigma? **"[Sigma unlocks data value for our organization](https://www.g2.com/survey_responses/sigma-review-10895340)"** **Rating:** 5.0/5.0 stars *— Austin M.* [Read full review](https://www.g2.com/survey_responses/sigma-review-10895340) --- **"[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)"** **Rating:** 4.0/5.0 stars *— Keerthan P.* [Read full review](https://www.g2.com/survey_responses/sigma-review-12573150) --- #### What Are G2 Users Discussing About Sigma? - [What is Sigma used for?](https://www.g2.com/discussions/what-is-sigma-used-for) - 1 comment ### 14. [Alteryx](https://www.g2.com/products/alteryx/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 651 **Why buyers love it?:** When I reviewed Alteryx’s G2 feedback, the strongest theme was reducing manual data preparation through visual workflows. Reviewers highlight drag-and-drop data manipulation, fast blending across sources, large dataset handling, Excel-heavy workflow acceleration, automation, and improved report efficiency. The product reads as a fit for teams that need repeatable preparation and analysis workflows without line-by-line code. Users also mention slower performance in complex workflows, unclear error guidance, high memory use, and concerns around cloud processing requirements. ### What Do G2 Reviewers Say About Alteryx? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Alteryx, finding it user-friendly and efficient for all skill levels. - Users praise Alteryx for its **automation capabilities** , which significantly enhance speed and efficiency in data processing. - Users praise Alteryx for its **intuitive interface** , making data management and analysis effortless and efficient. - Users find Alteryx **easy to learn and use** , benefiting from its intuitive layout and helpful community support. - Users appreciate the **efficiency** of Alteryx, enabling quick data processing and seamless integration for streamlined workflows. **Cons:** - Users find Alteryx **expensive** , making it challenging for small teams or startups to justify the cost. - Users face a **steep learning curve** when tackling advanced features, which can delay effective usage of Alteryx. - Users find it frustrating that Alteryx has **missing features** like essential connectors and support for special characters. - Users find that **learning difficulty** can arise from troubleshooting errors and confusing tool names, especially for beginners. - Users often face **slow performance** when handling large datasets, impacting their overall experience with Alteryx. #### Key Features - Data Column Filtering - Data Visualization - WYSIWYG Report Design - Data Unification - Data Visualization #### What Are Recent G2 Reviews of Alteryx? **"[Easy, Time-Saving Data Automation with Alteryx’s Drag-and-Drop Workflows](https://www.g2.com/survey_responses/alteryx-review-12594796)"** **Rating:** 4.0/5.0 stars *— Kapil S.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12594796) --- **"[powerful data prep made simple with drag-and-drop](https://www.g2.com/survey_responses/alteryx-review-12714902)"** **Rating:** 4.0/5.0 stars *— Sravya A.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12714902) --- ### 15. [Coefficient](https://www.g2.com/products/coefficient/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 183 **Product Description:** 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. ### What Do G2 Reviewers Say About Coefficient? *AI-generated summary from verified user reviews* **Pros:** - Users find Coefficient's **ease of use** remarkable, enabling seamless data integration and effortless dashboard creation. - Users appreciate the **seamless automation** in Coefficient, enhancing efficiency and simplifying data integration from multiple platforms. - Users appreciate the **seamless integrations** of Coefficient, enhancing simplicity and efficiency in their workflows. - Users highlight the **time-saving benefits** of Coefficient, enabling quick data imports and effortless refreshing. - Users highlight the **easy integrations** with Coefficient, simplifying connections to databases and enhancing productivity seamlessly. **Cons:** - Users find the **limited features** of Coefficient disappointing, particularly for small organizations on a budget. - Users find the **feature limitations** of Coefficient, such as lack of bulk updates, somewhat restrictive for their needs. - Users face **limitations in data processing** , including bulk update restrictions and row number constraints in Coefficient. - Users note the **missing features** , such as bulk updating and specific connectors, which limit integration capabilities. - Users note **integration issues** with Coefficient, including limited customizability with Salesforce and slow data pulling into Google Sheets. #### What Are Recent G2 Reviews of Coefficient? **"[Effortless Salesforce to Sheets Integration](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) --- **"[Effortless Scheduled Refreshes. Eliminates Manual Exports and Makes Revenue Data Actionable](https://www.g2.com/survey_responses/coefficient-review-12318636)"** **Rating:** 5.0/5.0 stars *— Jacob R.* [Read full review](https://www.g2.com/survey_responses/coefficient-review-12318636) --- ### 16. [HockeyStack](https://www.g2.com/products/hockeystack/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 80 **Product Description:** HockeyStack learns your company’s winning pattern for revenue generation, then Revenue Agents execute that process across every rep and every deal. Key capabilities include: - Revenue Agents: autonomous, intelligent systems that continuously analyze all deal, account, and behavioral data to make decisions and take actions that drive revenue outcomes. - Rep Cockpit: A single interface where agent outputs are pre-computed, decisions surface one at a time, and internal actions are executed automatically - Manager View: Managers can see exactly where deals are deviating or where reps are diverging from ideal behavior, without extra meetings or review cycles - Atlas: A data foundation that captures causality across the entire buyer journey, ingesting signals from CRM, call recordings, ad platforms, sales engagement, web activity, and more - Blueprint: A multi-layer ML pipeline that identifies the exact behaviors and sequences that drive closed-won, then matches every live deal against that validated process and flags deviation in real time - Self-Improving Loop: Every rep action, dismissal, edit, and deal outcome feeds back into the Blueprint, so the system gets smarter on its own over time Achieve reduced rep variance, faster ramp time, and more accurate forecasts, with impact compounding as the system learns. Get started with HockeyStack today! ### What Do G2 Reviewers Say About HockeyStack? *AI-generated summary from verified user reviews* **Pros:** - Users value the **flexibility and relevance** of HockeyStack, enabling tailored insights that enhance campaign performance. - Users value the **seamless analytics** in HockeyStack, facilitating deep insights into marketing and sales performance effectively. - Users highlight the **ease of use** of HockeyStack, noting simple integration and excellent support throughout the process. - Users commend HockeyStack for its **exceptional support** , noting timely and thorough responses that enhance the overall experience. - Users value the **attribution accuracy** of HockeyStack, gaining clear insights into marketing effectiveness and performance tracking. **Cons:** - Users find the **learning curve steep** , necessitating significant time and effort for initial setup and comprehension. - Users note a **steep learning curve** with HockeyStack, requiring time to fully utilize its capabilities. - Users find the **initial setup complex** and require time to fully grasp advanced features and functionalities. - Users desire **missing features** in HockeyStack, seeking refinements for a more effective reporting solution. - Users find the **initial setup and report loading times** to be quite time-consuming, affecting their overall experience. #### What Are Recent G2 Reviews of HockeyStack? **"[Broad Capabilities, Some Complexity in Setup](https://www.g2.com/survey_responses/hockeystack-review-12701250)"** **Rating:** 4.0/5.0 stars *— Carmine M.* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12701250) --- **"[Promising Tool, Some Drawbacks](https://www.g2.com/survey_responses/hockeystack-review-12260402)"** **Rating:** 4.0/5.0 stars *— Verified User* [Read full review](https://www.g2.com/survey_responses/hockeystack-review-12260402) --- #### What Are G2 Users Discussing About HockeyStack? - [What is HockeyStack used for?](https://www.g2.com/discussions/what-is-hockeystack-used-for) ### 17. [Knowi](https://www.g2.com/products/knowi/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 27 **Product Description:** Knowi is an end-to-end AI-powered analytics platform designed for modern data, enabling enterprises of all sizes to dramatically accelerate the journey from raw data to actionable insights. With native integration to virtually any data source—including SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB), REST APIs, cloud databases, and documents—Knowi eliminates the need for complex data transformation processes required by alternative solutions. Data teams can integrate, blend, visualize, and analyze data from any source 10X faster, all within a single platform. They can then leverage AI to uncover insights, embed analytics into applications, share dashboards with business users, and automate reporting. ### What Do G2 Reviewers Say About Knowi? *AI-generated summary from verified user reviews* **Pros:** - Users commend Knowi's **exceptional customer support** , highlighting their responsiveness and tailored assistance throughout the onboarding process. - Users value Knowi for its **exceptional onboarding and proactive support** , boosting their confidence as they scale their businesses. - Users commend the **AI capabilities** of Knowi, enhancing their analytics experience with responsive support and tailored solutions. - Users value the **automation features** of Knowi, which simplify reporting and save significant time in data management. - Users praise the **intuitive dashboarding** of Knowi, allowing effortless data management and significant time savings. **Cons:** - Users find the **learning curve challenging** when setting up API connections and understanding advanced features in Knowi. - Users note a significant **lack of guidance** for API connections, making initial setup with Knowi time-consuming. - Users feel there is a significant **lack of tutorials** for API connections with popular platforms, making setup challenging. #### What Are Recent G2 Reviews of Knowi? **"[Chief Executive Officer](https://www.g2.com/survey_responses/knowi-review-12447928)"** **Rating:** 5.0/5.0 stars *— Paul N.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12447928) --- **"[Intuitive Dashboarding with Exceptional Support](https://www.g2.com/survey_responses/knowi-review-12378559)"** **Rating:** 5.0/5.0 stars *— Jose D.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12378559) --- ### 18. [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 740 **Product Description:** With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt. ### What Do G2 Reviewers Say About SAP Analytics Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in SAP Analytics Cloud, simplifying data access and enhancing decision-making efficiency. - Users value the **powerful data analysis** features of SAP Analytics Cloud, enhancing project organization and predictive modeling. - Users value the **strong visualization capabilities** of SAP Analytics Cloud, enhancing data storytelling and stakeholder communication. - Users value the **easy integrations** of SAP Analytics Cloud, enhancing collaboration and workflow efficiency across the organization. - Users appreciate the **powerful integration and comprehensive analytics** offered by SAP Analytics Cloud for effective planning. **Cons:** - Users experience **slow performance** with large datasets, which can hinder the efficiency of SAP Analytics Cloud. - Users often face a **steep learning curve** , needing training to effectively navigate SAP Analytics Cloud's advanced features. - Users face a **steep learning curve** in mastering SAP Analytics Cloud, especially for advanced features without proper training. - Users face **performance issues** with SAP Analytics Cloud, particularly when dealing with large datasets and complex calculations. - Many users find that **performance can slow down with large datasets** , impacting their overall experience with SAP Analytics Cloud. #### What Are Recent G2 Reviews of SAP Analytics Cloud? **"[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)"** **Rating:** 5.0/5.0 stars *— Muzammil M.* [Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514) --- **"[Powerful all-in-one analytics and planning tool](https://www.g2.com/survey_responses/sap-analytics-cloud-review-11882259)"** **Rating:** 5.0/5.0 stars *— Vusala J.* [Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-11882259) --- #### What Are G2 Users Discussing About SAP Analytics Cloud? - [What is SAP Analytics Cloud used for?](https://www.g2.com/discussions/what-is-sap-analytics-cloud-used-for) - 2 comments - [What is SAP Lumira used for?](https://www.g2.com/discussions/sap-lumira-what-is-sap-lumira-used-for) - 1 comment, 1 upvote - [What is SAP Analytics Hub used for?](https://www.g2.com/discussions/what-is-sap-analytics-hub-used-for) - 1 comment ### 19. [Equals](https://www.g2.com/products/equals/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 39 **Product Description:** The next-generation spreadsheet. Equals is the fastest, most flexible way to measure and report on your SaaS business. Automate your reporting with precision. Analyze from the comfort of a spreadsheet. Powered by live data from Stripe, Salesforce, Hubspot, and your SQL database. ---- We all understand the power and value of data. Yet, amongst the explosion of new tools to help us make sense of it all, we invariably end up back in a spreadsheet. BI tools are inherently complex and one-size-fits-all solutions simply don't cut it. Why? The spreadsheet is the only tool that gives you the flexibility to match the specifics of your business. There's really nothing like it — a canvas on which you can play, move, touch, and feel data while building compounding, sophisticated analyses and reports. Yet, starting analyses in Excel and Sheets is painful. Your data always comes from somewhere else, you have to export it to a CSV, import it into your spreadsheet, and hope you didn't miss anything. And then keeping it up-to-date is the original pain times ten. At Equals, we're building a next-generation spreadsheet that works just like those that came before but is fit for this era of work. It's directly connected to your data and is as unconstrained and flexible as a spreadsheet. It's paired with BI-grade dashboards that are as quick and easy to create as a doc. Based in North America, we have been building software and companies for 10+ years at the likes of Intercom, Atlassian, Stripe, and Loom. We're backed by the best innovators and investors in Silicon Valley, including a16z and Craft Ventures. ### What Do G2 Reviewers Say About Equals? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Equals, enjoying seamless interactions and intuitive tools for data management. - Users praise the **incredible customer support** from Equals, highlighting their responsiveness and valuable assistance in setup. - Users praise the **fast data analysis and integration** capabilities of Equals, streamlining their workflow significantly. - Users are impressed with the **data manipulation capabilities** of Equals, enabling seamless live data analysis and reporting. - Users value the **easy implementation** of Equals, with expert support simplifying the integration of complex data systems. **Cons:** - Users experience **frequent bugs** like crashes and date formatting issues, which hinder overall functionality. - Users experience a **slight learning curve** with Equals, making it challenging for beginners to navigate the interface. - Users desire a **filters feature** in Equals, noting its absence despite ongoing updates and responsiveness from the team. - Users find the **complex usage** of Equals challenging, especially for beginners navigating the interface. - Users report occasional **copy-paste issues** that disrupt workflow and hinder efficiency in Equals. #### What Are Recent G2 Reviews of Equals? **"[One of the best tools for GTM Teams](https://www.g2.com/survey_responses/equals-review-12316749)"** **Rating:** 5.0/5.0 stars *— Badr E.* [Read full review](https://www.g2.com/survey_responses/equals-review-12316749) --- **"[Effortless CRM Data Analysis and Dashboard Creation](https://www.g2.com/survey_responses/equals-review-12082723)"** **Rating:** 4.0/5.0 stars *— Appu M.* [Read full review](https://www.g2.com/survey_responses/equals-review-12082723) --- ### 20. [Domo](https://www.g2.com/products/domo/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 987 **Why buyers love it?:** When I assessed Domo’s G2 feedback, reviewers consistently framed it as a central place for data, dashboards, and business visibility. Reviewers highlight easy setup, a user-friendly interface, Magic ETL, AI features, broad insights sharing, and accessibility for less technical users. The product reads as a fit for organizations that want to connect data sources and give business teams a direct path to dashboards and analysis. Users also mention credit usage concerns, pricing complexity, occasional bugs, limited SQL depth, and feature maturity issues. ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Domo, simplifying reporting and making it accessible for everyone. - Users value the **flexible dashboards** in Domo for seamless data visualization and intuitive insights. - Users admire Domo's **intuitive design** , making data management accessible even for non-tech-savvy individuals. - Users appreciate the **easy integrations** of Domo, enhancing their data management and decision-making processes effectively. - Users value Domo's **seamless integration** capabilities, enhancing data management and facilitating real-time collaboration and insights. **Cons:** - Users find the **learning curve challenging** , often needing to adapt to frequent updates and complex functionality. - Users often find **missing features** in Domo, such as limited card displays and outdated MySQL implementation. - Users face significant **data management issues** with Domo, struggling with uploads, organization, and limitations on analytics capabilities. - Users find Domo to be **expensive** due to high costs associated with features, setup, and external support. - Users find Domo's **complexity overwhelming** , requiring technical expertise and extensive setup, affecting functionality and efficiency. #### Key Features - Steps to Answer - Data Column Filtering - Data Visualization - Data Modeling - Connectors #### What Are Recent G2 Reviews of Domo? **"[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)"** **Rating:** 5.0/5.0 stars *— Anuj T.* [Read full review](https://www.g2.com/survey_responses/domo-review-12676104) --- **"[Comprehensive Analytics Tool with a Learning Curve](https://www.g2.com/survey_responses/domo-review-9326769)"** **Rating:** 5.0/5.0 stars *— John L.* [Read full review](https://www.g2.com/survey_responses/domo-review-9326769) --- #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) ### 21. [Strategy One (formerly MicroStrategy ONE)](https://www.g2.com/products/strategy-one-formerly-microstrategy-one/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 529 **Product Description:** 🚀 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. ### 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, enjoying straightforward setup and flexible visualizations for data access. - Users admire the **ongoing commitment to innovation** in Strategy One, enhancing its capabilities and keeping it competitive. - Users appreciate the **easy setup** of Strategy One, finding the initial process straightforward and effective for quick access. - Users praise the **customization options** in Strategy One, enabling tailored reports and quick application creation for data analysis. - Users appreciate the **flexible dashboard customization** in Strategy One, which simplifies data analysis and enhances usability. **Cons:** - Users highlight a **steep learning difficulty** with Strategy One, expressing concerns about its overwhelming complexity for beginners. - Users find the product has a **steeper learning curve** compared to similar products, complicating their overall experience. - Users find the **Copilot integration lacking** , particularly compared to better connectivity options in competing products like Power BI. - Users find the **complex usage** of Strategy One overwhelming, with a steep learning curve and challenging integration with Excel. - Users point out that **access restrictions** limit availability, requiring an enterprise version for full functionality. #### 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 ### 22. [Cube](https://www.g2.com/products/cube-2023-07-31/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 27 **Product Description:** Cube Cloud is a universal semantic layer that makes it easy to connect siloed data and create consistent metrics that are accessible to any data consumer–AI, BI, spreadsheets, and embedded analytics. The solution provides unmatched integrations and interoperability, supporting a robust set of deployment options, data connectivity, coding languages, and native APIs so that you can build solutions to fit your unique requirements on the modern data stack. With Cube Cloud, business data becomes consistent, accurate, easy to access, and most importantly, trusted. Data engineers and application developers use Cube Cloud’s code-first, developer-oriented platform to: - Organize and govern data from cloud data warehouses into centralized, consistent, and reusable data models and business definitions. - Apply software engineering best practices and processes to data management: CI/CD, isolated environments, and version control with Git integration. - Use intelligent capabilities like data model code generation and front-end embedded analytics code generation to increase productivity. - Optimize query performance and save on cloud data usage with pre-aggregation caching capabilities. - Deliver data to any downstream tool via data APIs: SQL, REST, GraphQL, AI, and MDX. Cube accelerates trusted data-driven decisions, delivering better experiences to employees inside the organization, customers outside the organization, and even machines with our native OpenAI integrations. Build Generative AI experiences with the AI API. For internal BI use cases, Cube Cloud provides a semantic catalog and Generative AI capabilities to simplify discovery, exploration, and access to modeled data and downstream, connected BI content for data analysts and business users. You can add unlimited named user accounts to allow anyone to search and reuse trusted data products and perform natural language queries in a simplified, business user-friendly interface. ### What Do G2 Reviewers Say About Cube? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Cube, with simple development and maintenance for analytics embedding. - Users love the **flexibility and customization** options of Cube, enhancing their embedded analytics applications significantly. - Users value the **powerful BI capabilities** of Cube, enhancing metrics design and accelerating data access efficiently. - Users commend the **fast and proactive customer support** of CubeJS, enhancing their overall experience and productivity. - Users commend the **flexibility and customization** of CubeJS, facilitating seamless integration and tailored analytics solutions. **Cons:** - Users find Cube lacking in **key features** , with limited integration options and incomplete functionality for an all-in-one solution. - Users often face **bugs and inconsistencies** in Cube, leading to frustration with features and integration challenges. - Users find **data integration challenging** , with difficulties in BI tool compatibility and issues with query aggregations. - Users find Cube has **limited features** , lacking comprehensive tools like advanced visualization and a robust SDK. - Users report experiencing **software bugs** and confusion with features, affecting overall usability and integration efforts. #### What Are Recent G2 Reviews of Cube? **"[Great for AI applications and general data apps!](https://www.g2.com/survey_responses/cube-review-10751001)"** **Rating:** 4.5/5.0 stars *— Verified User in Commercial Real Estate* [Read full review](https://www.g2.com/survey_responses/cube-review-10751001) --- **"[Super Easy Access to the DEV team](https://www.g2.com/survey_responses/cube-review-11700913)"** **Rating:** 5.0/5.0 stars *— Verified User in Real Estate* [Read full review](https://www.g2.com/survey_responses/cube-review-11700913) --- ### 23. [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 280 **Product Description:** Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. ### What Do G2 Reviewers Say About Zoho Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Zoho Analytics, enjoying its intuitive interface and straightforward data access. - Users value the **intuitive interface and robust data integration** in Zoho Analytics for effortless reporting and visualization. - Users value the **seamless data integration** with Zoho platforms, enhancing usability and customization for reporting needs. - Users admire the **dashboard usability** of Zoho Analytics, appreciating its intuitive design and seamless data integration. - Users value the **data visualization capabilities** of Zoho Analytics, enhancing decision-making with dynamic charts and dashboards. **Cons:** - Users face a **steep learning curve** with Zoho Analytics, making it challenging for beginners to navigate and utilize effectively. - Users find that Zoho Analytics has **limited customization options** , making it less flexible compared to other analytics tools. - Users find the **data integration process clunky** and difficult, impacting the overall user experience with Zoho Analytics. - Users experience **integration issues** with Zoho Analytics, complicating data management and requiring ongoing manual checks. - Users find that Zoho Analytics has **missing features** compared to competitors, impacting flexibility and customization options. #### What Are Recent G2 Reviews of Zoho Analytics? **"[Excellent Reporting with Zoho Analytics and Zoho Books Sync](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)"** **Rating:** 5.0/5.0 stars *— Abhinandan J.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12722454) --- **"[Intuitive Drag-and-Drop BI with a Powerful AI Assistant](https://www.g2.com/survey_responses/zoho-analytics-review-12599628)"** **Rating:** 4.5/5.0 stars *— Sushank M.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12599628) --- #### What Are G2 Users Discussing About Zoho Analytics? - [What is Zoho Analytics used for?](https://www.g2.com/discussions/what-is-zoho-analytics-used-for) - 1 comment - [What is the use of Zoho?](https://www.g2.com/discussions/what-is-the-use-of-zoho) - 1 comment - [Is Zoho Analytics free?](https://www.g2.com/discussions/is-zoho-analytics-free) - 1 comment ### 24. [Dataiku](https://www.g2.com/products/dataiku/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 185 **Product Description:** Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimentation to coordinated, trusted execution at scale. Built for AI success: Dataiku brings business experts and AI specialists into the same environment, embedding business context into analytics, models, and AI agents. Business teams can self-serve and innovate, while AI experts build, deploy, and optimize quickly, closing the gap between pilots and production. Orchestration that scales: Dataiku connects data, AI services, and enterprise apps across analytics, machine learning, and AI agents. Integrated workflows deliver value across any cloud or infrastructure without vendor lock-in or fragmentation. Governance you can trust: Dataiku embeds governance across the AI lifecycle, enabling teams to track performance, cost, and risk to keep systems explainable, compliant, and auditable. ### What Do G2 Reviewers Say About Dataiku? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Dataiku, simplifying complex tasks and enhancing productivity in ML development. - Users appreciate the **user-friendly learning resources** of Dataiku, which simplify the ML development process significantly. - Users appreciate the **user-friendly interface** of Dataiku, allowing seamless collaboration and ease of use for all skill levels. - Users love the **easy integrations** in Dataiku, enabling seamless connections to various data sources and platforms. - Users value the **productivity improvement** from Dataiku's unified platform, enabling efficient data management and analysis for everyone. **Cons:** - Users find the **steep learning curve** challenging, especially when trying to utilize advanced features effectively. - Users find the **steep learning curve** challenging, particularly for beginners wanting to use advanced features. - Users experience **slow performance** in Dataiku, particularly with large datasets and complex scenario executions. - Users find the **difficult learning curve** of Dataiku challenging, especially for those new to advanced features and integration. - Users highlight the **expensive pricing structure** as a major drawback, particularly for smaller organizations or teams. #### What Are Recent G2 Reviews of Dataiku? **"[Dataiku: User-Friendly Collaboration Across the Full Data Lifecycle](https://www.g2.com/survey_responses/dataiku-review-12256413)"** **Rating:** 4.5/5.0 stars *— Mahmoud H.* [Read full review](https://www.g2.com/survey_responses/dataiku-review-12256413) --- **"[Dataiku:A plug in tool for Data Science](https://www.g2.com/survey_responses/dataiku-review-8032719)"** **Rating:** 4.5/5.0 stars *— Rakshith N.* [Read full review](https://www.g2.com/survey_responses/dataiku-review-8032719) --- #### What Are G2 Users Discussing About Dataiku? - [Is Dataiku an ETL tool?](https://www.g2.com/discussions/is-dataiku-an-etl-tool) - [Is Dataiku web based?](https://www.g2.com/discussions/is-dataiku-web-based) - [What is DSS Dataiku?](https://www.g2.com/discussions/what-is-dss-dataiku) ### 25. [Bold BI](https://www.g2.com/products/bold-bi/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 88 **Product Description:** 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." ### What Do G2 Reviewers Say About Bold BI? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **responsive customer support** from Bold BI, providing quick and precise guidance for complex tasks. - Users highlight the **ease of use** of Bold BI, finding it intuitive and quick for creating dashboards. - Users love the **seamless integrations** of Bold BI, enhancing their workflow with various platforms effortlessly. - Users value the **dashboard customization** options in Bold BI, enabling quick and personalized data visualization for their needs. - Users value the **seamless embedding features** of Bold BI, enhancing integration in various applications effortlessly. **Cons:** - Users experience **bottlenecks due to bugs** in Bold BI, causing delays and frustration with fixes and compatibility issues. - Users find the **steep learning curve** of Bold BI challenging, requiring time and technical knowledge for advanced features. - Users find the **difficult setup** of Bold BI time-consuming, often needing tutorials and facing a steep learning curve. - Users find the **application very buggy** with frequent issues and long bug fixes impacting their overall experience. - Users note **dashboard issues** include steep learning curves and performance slowdowns with complex configurations and mobile layouts. #### What Are Recent G2 Reviews of Bold BI? **"[Powerful, Flexible Analytics Platform with Intuitive Design and Excellent Support](https://www.g2.com/survey_responses/bold-bi-review-12016141)"** **Rating:** 5.0/5.0 stars *— Mohamed zulfadli A.* [Read full review](https://www.g2.com/survey_responses/bold-bi-review-12016141) --- **"[Simple, Powerful, and Works Well](https://www.g2.com/survey_responses/bold-bi-review-10818671)"** **Rating:** 5.0/5.0 stars *— muhdin m.* [Read full review](https://www.g2.com/survey_responses/bold-bi-review-10818671) --- #### What Are G2 Users Discussing About Bold BI? - [What is Bold BI used for?](https://www.g2.com/discussions/what-is-bold-bi-used-for) - [What are Microsoft BI tools?](https://www.g2.com/discussions/what-are-microsoft-bi-tools) - [What are examples of BI tools?](https://www.g2.com/discussions/bold-bi-what-are-examples-of-bi-tools) ## What Is 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) --- ## 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.