# Best Enterprise Analytics Platforms

## How Many Analytics Platforms Products Does G2 Track?

**Total Products under this Category:** 367

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Aible (+4.36%) - Among all products in this category, Aible recorded the largest rating increase compared to last month

_Last updated: August 04, 2026_

## How Does G2 Rank Analytics Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 28,800+ Authentic Reviews
- 367+ 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.

## G2 Grid® for Analytics Platforms
 ![G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=1213&focus%5B%5D=29364&focus%5B%5D=10470&focus%5B%5D=989&focus%5B%5D=1001&focus%5B%5D=27024&focus%5B%5D=612&focus%5B%5D=1327283)

Highlighted products: Tableau, Microsoft Power BI, Databricks, Alteryx, Oracle Analytics Cloud, Kyvos Semantic Layer, IBM Cognos Analytics, and SAS Viya.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=oracle-analytics-cloud&focus%5B%5D=kyvos-semantic-layer&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=sas-sas-viya&segment=enterprise)

**Sponsored**

### Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-08-05T19%3A28%3A38Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%2Fenterprise%3Fopen_modal_url%3D%252Fproducts%252Fsas-sas-viya%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fanalytics-platforms%25252Fenterprise%2526source%253Dcategory&secure%5Btoken%5D=b170a6023dc6d219b70bf31ade53f8ec318ae080193899e4d433a253c97b1a04&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url)

### [Tableau](https://www.g2.com/products/tableau/reviews)

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

**Average Rating:** 4.4/5.0

**Total Reviews:** 3,679

#### How Do G2 Users Rate Tableau?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Tableau?

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** www.salesforce.com
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Large, 36% Medium

#### What Do G2 Reviewers Say About Tableau?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Tableau's **ease of use** essential for creating interactive dashboards without heavy coding or complex setups.
- Users value Tableau's **data visualization capabilities** , enabling the creation of interactive, clear dashboards that enhance decision-making.
- Users love Tableau for its **powerful visualization capabilities** , enabling clear, interactive dashboards and real-time data insights.
- Users value the **interactive dashboards** of Tableau, enhancing data visualization and simplifying complex reporting tasks seamlessly.
- Users love Tableau's **intuitive interface** , making complex data visualization and dashboard creation easy and accessible.

##### Cons

- Users find the **learning curve steep** , making it challenging to fully integrate Tableau with Salesforce and MS products.
- Users face a **steep learning curve** with Tableau, making it challenging for new users to become proficient.
- Users report that the **high licensing cost** of Tableau can be a significant barrier, especially for smaller teams.
- Users report **slow performance** with large datasets, impacting their experience and efficiency in Tableau.
- Users find Tableau's **onboarding and complexity** challenging, making it tougher to transition from simpler tools like MS products.

#### What Are Recent G2 Reviews of Tableau?

**["Turning Complex Data into Actionable Insights"](https://www.g2.com/survey_responses/tableau-review-13075232)**

**Rating:** 5.0/5.0 stars

_— Murtuza L._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13075232)

**["Clear data means quick decisions."](https://www.g2.com/survey_responses/tableau-review-13124621)**

**Rating:** 4.5/5.0 stars

_— Libia B._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13124621)

#### 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
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment

### [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)

Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded.

**Average Rating:** 4.5/5.0

**Total Reviews:** 1,600

#### How Do G2 Users Rate Microsoft Power BI?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.9/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Microsoft Power BI?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 42% Large, 37% Medium

#### What Do G2 Reviewers Say About Microsoft Power BI?

_AI-generated summary from verified user reviews_

##### Pros

- Users find **Microsoft Power BI extremely easy to use** , streamlining data analysis and report generation effortlessly.
- Users commend the **data visualization capabilities** of Microsoft Power BI, enabling insightful analysis of large datasets.
- Users appreciate the **seamless integration** with various databases, enhancing data visualization and analysis efficiently.
- Users appreciate the **ease of transforming complex data into interactive insights** with Microsoft Power BI, greatly enhancing decision-making.
- Users love the **powerful charting features** in Power BI, enabling easy data visualization and report creation.

##### Cons

- Users find **the learning curve steep** for Power BI, particularly for beginners exploring data connections and model optimization.
- Users experience **slow performance** with large datasets in Microsoft Power BI, impacting their overall efficiency and productivity.
- Users experience **performance issues** with large datasets and complex reports, impacting usability and efficiency.
- Users find the **complex data modeling** challenging, especially with the steep learning curve and performance issues on large datasets.
- Users find **limited customization** with Microsoft Power BI, particularly regarding free custom visuals and mobile experience enhancements.

#### What Are Recent G2 Reviews of Microsoft Power BI?

**["Fast Live Dashboards with DirectQuery, Intuitive Visuals, and Strong RLS"](https://www.g2.com/survey_responses/microsoft-power-bi-review-13204910)**

**Rating:** 4.5/5.0 stars

_— Sivabalan A._

[Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-13204910)

**["Easy, Powerful Dashboards with Helpful Copilot Features"](https://www.g2.com/survey_responses/microsoft-power-bi-review-13194161)**

**Rating:** 5.0/5.0 stars

_— Sree K._

[Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-13194161)

#### 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
- [What can Microsoft Power BI do?](https://www.g2.com/discussions/what-can-microsoft-power-bi-do) - 2 comments, 2 upvotes
- [What is Microsoft Power BI desktop?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop) - 2 comments

### [Databricks](https://www.g2.com/products/databricks/reviews)

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,330

#### How Do G2 Users Rate Databricks?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

#### What Are Recent G2 Reviews of Databricks?

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

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.

**Average Rating:** 4.6/5.0

**Total Reviews:** 857

#### How Do G2 Users Rate Alteryx?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

#### 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 non-technical users.
- Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data preparation and analysis.
- Users love the **intuitive design** of Alteryx, making data management and workflow creation effortless and efficient.
- Users find Alteryx to be **very easy to learn and use** , enhancing their data workflow and automation experience.
- Users appreciate the **efficiency** of Alteryx, enabling quick data processing and streamlined workflows without complex coding.

##### Cons

- Users mention that Alteryx has a **high cost** which can be challenging for small teams and startups.
- Users find a **steep learning curve** for advanced features, making it challenging for beginners to master Alteryx quickly.
- Users point out the **missing features** in Alteryx, such as limited connectors and issues with output flexibility.
- Users find **learning difficulty** in Alteryx due to confusing tools and troubleshooting errors, especially for beginners.
- Users encounter **slow performance** when processing large datasets, impacting efficiency and usability in Alteryx.

#### What Are Recent G2 Reviews of Alteryx?

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

### [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews)

Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access data from wherever they are, even using mobile devices. Oracle Analytics Cloud helps organizations discover unique insights faster with machine learning. With augmented analytics, combine data from across your organization with third-party data and automate important and time-consuming tasks such as data preparation, visualization, forecasting, and reporting.

**Average Rating:** 4.1/5.0

**Total Reviews:** 293

#### How Do G2 Users Rate Oracle Analytics Cloud?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.4/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Oracle Analytics Cloud?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 61% Large, 27% Medium

#### What Do G2 Reviewers Say About Oracle Analytics Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **robust self-service analytics** tools of Oracle Analytics Cloud, enabling effortless dashboard creation and data exploration.
- Users appreciate the **strong data visualization** capabilities of Oracle Analytics Cloud, making analytics accessible and attractive for all.
- Users value the **intuitive and accessible interface** of Oracle Analytics Cloud, enabling effortless data exploration for all skill levels.
- Users value the **scalability** of Oracle Analytics Cloud, allowing for customizable solutions tailored to their evolving needs.
- Users appreciate the **customized business improvement solutions** Oracle Analytics Cloud offers, enhancing collaborative analytics for organizations.

##### Cons

- Users face a **steep learning curve** with Oracle Analytics Cloud, making it challenging for new users to adapt.
- Users find the **complexity** of Oracle Analytics Cloud daunting, particularly during the initial setup and learning advanced features.
- Users find the **complex usage** of Oracle Analytics Cloud challenging, particularly during setup and when learning advanced features.
- Users find that **customization options are limited** , making it difficult to meet highly specialized requirements on Oracle Analytics Cloud.
- Users note the **infrequent software updates** of Oracle Analytics Cloud, leading to concerns about security vulnerabilities.

#### What Are Recent G2 Reviews of Oracle Analytics Cloud?

**["Fast Navigation, Customizable Oracle Analytics Cloud, and Strong Automation"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664)**

**Rating:** 4.0/5.0 stars

_— Shawn A._

[Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664)

**["Transform complex data into actionable insights!"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722)**

**Rating:** 4.0/5.0 stars

_— Gaurav G._

[Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722)

#### What Are G2 Users Discussing About Oracle Analytics Cloud?

- [What is Oracle Analytics Cloud used for?](https://www.g2.com/discussions/what-is-oracle-analytics-cloud-used-for)
- [How do I import an RPD into Oracle Analytics Cloud?](https://www.g2.com/discussions/how-do-i-import-an-rpd-into-oracle-analytics-cloud)
- [What comes out of the box with Oracle Analytics for applications?](https://www.g2.com/discussions/what-comes-out-of-the-box-with-oracle-analytics-for-applications)
- [What's New in Oracle Analytics Cloud?](https://www.g2.com/discussions/what-s-new-in-oracle-analytics-cloud)
- [What is Oracle Analytics Cloud?](https://www.g2.com/discussions/oracle-analytics-cloud-what-is-oracle-analytics-cloud)

### [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews)

Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. Why Organizations Use Kyvos Unified Semantic Foundation for AI and BI Kyvos semantic layer standardizes how metrics, KPIs, dimensions, hierarchies, relationships, calculations, and business rules are modelled across the enterprise — so that dashboards, analytics tools, notebooks, and AI systems all operate on the same understanding of the business. Kyvos enables: - Shared semantics — one common data language across every tool, team, and system - Governed access — data exploration within defined security, role, and permission boundaries - Platform interoperability — consistent semantic context across diverse platforms and environments - AI readiness — LLMs and agents work with governed business semantics rather than raw tables or ambiguous schema AI Grounded in Business Context Kyvos grounds AI systems in the governed semantic model, ensuring they operate on established business context rather than raw schemas — improving the accuracy, traceability, and reliability of AI-generated insights. Consistent Metrics Across BI Tools Kyvos centralizes metric and KPI definitions in the semantic layer and applies them consistently across every analytics interface — eliminating metric drift and improving trust in analytics. High-Performance Analytics at Scale Kyvos delivers high-performance analytics that scale with demand, enabling: - Sub-second query performance across massive datasets - High concurrency across thousands of users and workloads - Consistent response times regardless of data volume or concurrency - No performance degradation as adoption grows - Multidimensional Analytics on the Cloud Kyvos enables deep multidimensional analytics, supporting: - Granular analysis across billions of rows - Thousands of measures and dimensions in a single model - Fast drill-down across complex hierarchies - Full analytical depth without sacrificing query speed Cloud Cost Efficiency Kyvos serves analytics through its semantic layer rather than routing every query to the warehouse — reducing compute consumption across analytics and AI workloads. As adoption grows, organizations can scale users, workloads, and analytical complexity without a corresponding rise in warehouse compute costs.

**Average Rating:** 4.8/5.0

**Total Reviews:** 267

#### How Do G2 Users Rate Kyvos Semantic Layer?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.1/10)
- **Steps to Answer:** 9.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Kyvos Semantic Layer?

- **Seller:** [Kyvos Insights](https://www.g2.com/sellers/kyvos-insights)
- **Company Website:** www.kyvosinsights.com
- **Year Founded:** 2014
- **HQ Location:** Los Gatos, CA
- **Twitter:** @KyvosInsights  
689 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=900350c47a6a807c4765a28f52dcdbf3c06a5325a45d905c54e56a79e545cf9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkyvos-insights-inc-%2F&secure%5Burl_type%5D=linkedin_company_website)  
152 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 38% Large

#### What Do G2 Reviewers Say About Kyvos Semantic Layer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Kyvos, enabling quick insights and a user-friendly experience for complex data.
- Users love the **speed** of Kyvos for real-time insights, enabling quick queries and faster decision-making across data metrics.
- Users value the **exceptional performance** of Kyvos for quickly analyzing large datasets and delivering timely insights.
- Users admire the **lightning-fast analytics** of Kyvos Semantic Layer, enhancing performance and visualization of large datasets.
- Users value the **fast querying capabilities** of Kyvos Semantic Layer, enabling quick analysis of large transaction datasets.

##### Cons

- Users find the **learning curve steep** for advanced features and MDX queries, which can slow down usage efforts.
- Users find the **difficult setup** of Kyvos Semantic Layer challenging, though support helps ease the process.
- Users find the **initial setup and MDX complexity** challenging, though support helps ease the deployment process.
- Users note the **feature limitations** of Kyvos, especially lacking advanced analytics and integration for seamless data exploration.
- Users experience **connectivity issues** , as initial integration with existing systems can be time-consuming.

#### What Are Recent G2 Reviews of Kyvos Semantic Layer?

**["Kyvos Semantic Layer Boosts AI Accuracy with Business-Ready Data"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)**

**Rating:** 5.0/5.0 stars

_— Nikhil K._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)

**["Fast, Consistent Data Exploration Across Dimensions with Kyvos Semantic Layer"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)**

**Rating:** 5.0/5.0 stars

_— ashish r._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)

### [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews)

IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business.

**Average Rating:** 4.1/5.0

**Total Reviews:** 439

#### How Do G2 Users Rate IBM Cognos Analytics?

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Cognos Analytics?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 58% Large, 26% Medium

#### What Do G2 Reviewers Say About IBM Cognos Analytics?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of IBM Cognos Analytics, enjoying intuitive features for reporting and analysis.
- Users appreciate the **quick and easy report generation** capabilities of IBM Cognos Analytics, enhancing their data analysis experience.
- Users appreciate the **in-depth adaptable dashboards** of IBM Cognos Analytics for generating insightful reports and visuals.
- Users value the **effortless data visualization** of IBM Cognos Analytics, enhancing understanding through engaging and adaptable dashboards.
- Users value the **intuitive user interface** of IBM Cognos Analytics, enhancing data comprehension and report creation efforts.

##### Cons

- Users find the **learning curve steep** , making initial navigation and integration with other software challenging.
- Users find the **learning difficulty** of IBM Cognos Analytics challenging, requiring substantial training and patience for effective use.
- Users experience **slow performance** with IBM Cognos Analytics, especially with complex reports and large data sets.
- Users find the **complexity** of building reports in IBM Cognos Analytics a significant barrier due to steep learning curves.
- Users find the **complex usage** of IBM Cognos Analytics challenging, particularly for new users navigating advanced features.

#### What Are Recent G2 Reviews of IBM Cognos Analytics?

**["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)

**["Powerful Reporting, Less Modern Interface"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)**

**Rating:** 4.0/5.0 stars

_— Nunna H._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)

#### 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

### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Viya?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** www.sas.com
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Biostatistician
- **Top Industries:** Pharmaceuticals, Banking
- **Company Size:** 33% Large, 33% Small

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of SAS Viya, which simplifies data visualization and enhances decision-making efficiency.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enabling easy deployment and real-time decision-making.
- Users appreciate the **advanced analytical methods** offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities.
- Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insight and strategic decision-making.
- Users love the **intuitive interface** of SAS Viya, making data analysis and model deployment effortless for all skill levels.

##### Cons

- Users find SAS Viya to have a **learning difficulty** , making it challenging for non-technical individuals to navigate effectively.
- Users find the **learning curve steep** , making it challenging for non-technical users to navigate SAS Viya effectively.
- Users find the **visualization complexity** in SAS Viya challenging, particularly for non-technical users and beginners.
- Users struggle with the **difficult learning curve** of SAS Viya, particularly for new and non-technical users.
- Users find the **expensive pricing** of SAS Viya to be a significant barrier to entry for potential adoption.

#### What Are Recent G2 Reviews of SAS Viya?

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

#### 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) - 2 comments

### [Domo](https://www.g2.com/products/domo/reviews)

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 1,042

#### How Do G2 Users Rate Domo?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Domo?

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk  
63,513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,288 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Computer Software, Marketing and Advertising
- **Company Size:** 49% Medium, 28% Large

#### What Do G2 Reviewers Say About Domo?

_AI-generated summary from verified user reviews_

##### Pros

- Users value Domo's **ease of use** , making it accessible for all, even those who aren't tech-savvy.
- Users value the **flexible dashboards** in Domo, allowing seamless data visualization from various sources.
- Users find Domo's **intuitive design** enhances data handling and decision-making, making it accessible for all skill levels.
- Users praise Domo for its **easy integrations** , enabling seamless data connections and enhancing data management efficiency.
- Users value the **seamless integration** capabilities of Domo, enhancing data management across various platforms and sources.

##### Cons

- Users find the **learning curve challenging** with Domo, often requiring dedicated resources to manage updates and functionalities.
- Users struggle with **missing features** in Domo, including outdated systems and limited capabilities in visualizations and connectors.
- Users are frustrated by **data management issues** , including upload adjustments and poor organization of datasets in Domo.
- Users find Domo to be **expensive** due to high costs associated with features and external consulting needs.
- Users find Domo's **complexity** overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

#### What Are Recent G2 Reviews of Domo?

**["Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"](https://www.g2.com/survey_responses/domo-review-13128007)**

**Rating:** 5.0/5.0 stars

_— Renee G._

[Read full review](https://www.g2.com/survey_responses/domo-review-13128007)

**["Fast, Reliable Dashboarding with Quick Data Connections in Domo"](https://www.g2.com/survey_responses/domo-review-13150907)**

**Rating:** 4.5/5.0 stars

_— Katie S._

[Read full review](https://www.g2.com/survey_responses/domo-review-13150907)

#### 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)
- [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good)
- [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do)

### [Dataiku](https://www.g2.com/products/dataiku/reviews)

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

**Average Rating:** 4.4/5.0

**Total Reviews:** 213

#### How Do G2 Users Rate Dataiku?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 7.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Dataiku?

- **Seller:** [Dataiku](https://www.g2.com/sellers/dataiku)
- **Company Website:** Dataiku.com
- **Year Founded:** 2013
- **HQ Location:** New York, NY
- **Twitter:** @dataiku  
22,917 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e59ec8fccc02ecc4f883419e54da56d3f6fc8b1e556153f0cc01cd05e3b77faa&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataiku%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,619 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Scientist, Data Analyst
- **Top Industries:** Financial Services, Pharmaceuticals
- **Company Size:** 60% Large, 22% Medium

#### What Do G2 Reviewers Say About Dataiku?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate how Dataiku facilitates **easy ML development** , allowing focus on building models without the complexity.
- Users love the **ease of use** in Dataiku, simplifying complex tasks and enhancing their data analysis experience.
- Users appreciate the **ease of usability** in Dataiku, enabling collaboration for both technical and non-technical users.
- Users appreciate the **easy integrations** of Dataiku, facilitating smooth collaboration and deployment across various analytics tools.
- Users benefit from the **productivity improvement** of Dataiku, enabling faster project development and enhanced career growth.

##### Cons

- Users find the **steep learning curve** of Dataiku challenging, making it tough for beginners to master the platform.
- Users find the **steep learning curve** challenging for beginners, impacting their ability to effectively use Dataiku.
- Users find the **difficult learning** curve challenging, particularly for beginners navigating advanced features.
- Users experience **slow performance** with Dataiku when handling large datasets, affecting efficiency and productivity.
- Users find Dataiku **expensive** , especially for smaller organizations and projects, impacting accessibility and affordability.

#### What Are Recent G2 Reviews of Dataiku?

**["Unified, Low-Code Platform That Boosts End-to-End Data & AI Productivity"](https://www.g2.com/survey_responses/dataiku-review-13125252)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13125252)

**["Build Faster Workflows with Connected Data from many providers or distinct data sources"](https://www.g2.com/survey_responses/dataiku-review-13120436)**

**Rating:** 4.5/5.0 stars

_— Adalberto G._

[Read full review](https://www.g2.com/survey_responses/dataiku-review-13120436)

#### 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)
- [What is Dataiku DSS used for?](https://www.g2.com/discussions/what-is-dataiku-dss-used-for)

### [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews)

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws

**Average Rating:** 4.3/5.0

**Total Reviews:** 677

#### How Do G2 Users Rate Amazon QuickSight?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.2/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Amazon QuickSight?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 40% Small, 36% Medium

#### What Do G2 Reviewers Say About Amazon QuickSight?

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **seamless integration with AWS services** , allowing for quick and effective dashboard creation.
- Users find Amazon QuickSight to be **very user-friendly** , seamlessly integrating with AWS for a smooth experience.
- Users appreciate the **easy integrations** of Amazon QuickSight, enhancing convenience with AWS and other data sources.
- Users value the **interactive dashboards and data visualization tools** of Amazon QuickSight, enhancing real-time insights for their business.
- Users admire the **interactive dashboard management** of Amazon QuickSight, enabling seamless data visualization and real-time insights.

##### Cons

- Users find the **limited customization options** of Amazon QuickSight restricts the flexibility of their reporting needs.
- Users find the **learning curve steep** , requiring additional AWS knowledge for effective use of QuickSight's features.
- Users find the **visualization options limited** , making it tough to achieve desired dashboard customizations and interactivity.
- Users find **missing features** in Amazon QuickSight, particularly lacking customization and advanced analytics compared to competitors.
- Users find the **poor interface design** of Amazon QuickSight detracts from usability and hinders deeper data analysis.

#### What Are Recent G2 Reviews of Amazon QuickSight?

**["Fast, Serverless BI with Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)**

**Rating:** 4.5/5.0 stars

_— Jawher S._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)

**["Streamlined Reporting with Robust Features"](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)**

**Rating:** 4.0/5.0 stars

_— Dilip Kumar P._

[Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11360363)

#### 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
- [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote
- [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote

### [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews)

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.

**Average Rating:** 4.2/5.0

**Total Reviews:** 750

#### How Do G2 Users Rate SAP Analytics Cloud?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 7.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAP Analytics Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Senior Consultant, Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 28% Medium

#### What Do G2 Reviewers Say About SAP Analytics Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in SAP Analytics Cloud, facilitating effortless data understanding and streamlined reporting.
- Users appreciate the **wide range of data connectivity options** in SAP Analytics Cloud, enhancing integration and analytics capabilities.
- Users value the **interactive dashboards** of SAP Analytics Cloud, which enhance data clarity and user customization.
- Users value the **easy integrations** of SAP Analytics Cloud, enjoying seamless connectivity and efficient data analysis across projects.
- Users appreciate the **wide range of data connectivity and predictive analytics** in SAP Analytics Cloud for effective decision-making.

##### Cons

- Users experience **slow performance** with SAP Analytics Cloud, particularly when working with complex datasets and large models.
- Users face a **steep learning curve** with SAP Analytics Cloud, requiring training to navigate its complex features effectively.
- Users find the **steep learning curve** challenging, especially without guidance for navigating SAP Analytics Cloud's features.
- Users experience significant **performance issues** with SAP Analytics Cloud, particularly with large datasets and complex calculations.
- Users experience **slow performance with large datasets** , making complex analyses cumbersome and time-consuming.

#### 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)

**["Reliable & User-Friendly Analytics Tool"](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)**

**Rating:** 4.0/5.0 stars

_— sagar i._

[Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)

#### 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
- [How does SAP Analytics calculate average cloud?](https://www.g2.com/discussions/how-does-sap-analytics-calculate-average-cloud)
- [What is predictive analytics software?](https://www.g2.com/discussions/sap-predictive-analytics-what-is-predictive-analytics-software) - 1 comment

### [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. Learn more at Teradata.com.

**Average Rating:** 4.3/5.0

**Total Reviews:** 356

#### How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 7.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Teradata Autonomous Knowledge Platform?

- **Seller:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform)
- **Year Founded:** 1979
- **HQ Location:** San Diego, CA
- **Twitter:** @Teradata  
93,113 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06895b9a8db4fa478ba7da480ccd214a14ef698abd028e4642e62f189e82b650&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1466%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,941 employees on LinkedIn®
- **Ownership:** NYSE:TDC

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 69% Large, 22% Medium

#### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **extreme performance** of the Teradata Autonomous Knowledge Platform, especially for processing large data volumes efficiently.
- Users value the **high performance query execution** in Teradata, enhancing their business analytics capabilities significantly.
- Users value the **scalability** of Teradata Autonomous Knowledge Platform, enhancing data integration and operational efficiency significantly.
- Users commend the **high performance and speed** of Teradata, efficiently processing large datasets without issues.
- Users value the **fast processing of large datasets** with Teradata, praising its performance and stability during operations.

##### Cons

- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, impacting adoption and productivity temporarily.
- Users find the **steep learning curve** of Teradata Autonomous Knowledge Platform challenging, particularly for those lacking technical expertise.
- Users find the **complexity** of Teradata's platform challenging, particularly for non-technical users and new adopters.
- Users express concerns over the **cost management requirements** needed to avoid potential misusage and performance issues.
- Users feel the **high cost** of Teradata Autonomous Knowledge Platform is a significant drawback affecting accessibility.

#### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

**["Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)

**["Teradata Vantage Excels at Big Data Processing and Advanced Analytics"](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)**

**Rating:** 4.5/5.0 stars

_— Nijat I._

[Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)

#### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

- [What does Teradata Data Lab do?](https://www.g2.com/discussions/what-does-teradata-data-lab-do)
- [Is Teradata a premiership?](https://www.g2.com/discussions/is-teradata-a-premiership)
- [What is Teradata Vantage?](https://www.g2.com/discussions/what-is-teradata-vantage)
- [How much does Teradata cost?](https://www.g2.com/discussions/how-much-does-teradata-cost)
- [What is Sandbox in Teradata?](https://www.g2.com/discussions/what-is-sandbox-in-teradata)

### [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python. - Agents: Deploy AI agents that act on live data and run multi-step workflows. Build them with natural language and your choice of enterprise LLM or warehouse AI. - Apps: Build AI Apps for operational work like planning and forecasting, scenario modeling, and approval routing, with writeback and governance automatically configured. Every artifact in Sigma inherits the security, permissions, and row-level access already set in the cloud data warehouse. Because governance is enforced at the source, anything a team builds is IT-approved from the start. Sigma solves a persistent tradeoff in enterprise data work. Business teams typically wait on a central data team to build reports and tools, while ad hoc AI and app-building tools produce work that sits outside IT's control. Sigma removes that tradeoff by keeping analysis, reporting, applications, and agents on live warehouse data under one set of permissions, so non-technical users build what they need while IT keeps a single, auditable system of control. Founded in 2014, Sigma is a privately held company headquartered in San Francisco, with offices in New York, London, and Sydney. More than 2,000 companies trust Sigma, including DoorDash, Blackstone, JPMorgan Chase, and Figma. Sigma is the business intelligence partner of the year for both Snowflake (2023-2026) and Databricks (2025-2026).

**Average Rating:** 4.4/5.0

**Total Reviews:** 544

#### How Do G2 Users Rate Sigma?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Sigma?

- **Seller:** [Sigma Computing](https://www.g2.com/sellers/sigma-computing)
- **Company Website:** www.sigmacomputing.com
- **Year Founded:** 2014
- **HQ Location:** San Francisco, California
- **Twitter:** @sigmacomputing  
1,556 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5e14ee06cc1c883d366c909e7de99c7c57ae9e81a07430a53fa07ee0dbfed5f4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F7801411%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,415 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Customer Success Manager
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 58% Medium, 21% Large

#### What Do G2 Reviewers Say About Sigma?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Sigma, finding it intuitive and simple to learn and navigate.
- Users love the **user-friendly interface** of Sigma, making it easy to create and manage metrics and dashboards.
- Users value the **responsive customer support** from Sigma, ensuring timely resolutions and effective assistance for their needs.
- Users find Sigma's **data handling capabilities** invaluable, simplifying processing and visualization for daily projects.
- Users appreciate how Sigma provides **clear and interactive data visualizations** , making complex datasets easy to analyze and understand.

##### Cons

- Users report that **loading times can be slow** , causing inefficiencies and frustration during use of Sigma.
- Users experience **slow performance** with Sigma, especially when handling complex tasks or larger datasets.
- Users find **limited customization** options in Sigma, restricting advanced visualizations and flexible formatting for their needs.
- Users find the **learning curve steep** , struggling to navigate dashboard building and limited resources for support.
- Users note the **missing features** in Sigma, such as limited visualizations and lack of scripting integration, affecting flexibility.

#### What Are Recent G2 Reviews of Sigma?

**["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)

**["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)

#### What Are G2 Users Discussing About Sigma?

- [What is Sigma used for?](https://www.g2.com/discussions/what-is-sigma-used-for) - 1 comment

### [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews)

ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.

**Average Rating:** 4.4/5.0

**Total Reviews:** 327

#### How Do G2 Users Rate ThoughtSpot?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind ThoughtSpot?

- **Seller:** [ThoughtSpot](https://www.g2.com/sellers/thoughtspot)
- **Company Website:** www.thoughtspot.com
- **Year Founded:** 2012
- **HQ Location:** Mountain View, CA
- **Twitter:** @thoughtspot  
10,975 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=db2fe2383870d4f008d7cc2b638c2285be5cd630c7ab2368fada8a6987b8abee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2647843%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,738 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 44% Large, 42% Medium

#### What Do G2 Reviewers Say About ThoughtSpot?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with ThoughtSpot, enjoying straightforward data access and intuitive search capabilities.
- Users appreciate the **user-friendly interface** of ThoughtSpot, which simplifies data management and reporting tasks effectively.
- Users praise the **intuitive analytics capabilities** of ThoughtSpot, making data exploration accessible for everyone in the organization.
- Users appreciate the **intuitive interface** of ThoughtSpot, making data analytics accessible and easy for everyone.
- Users appreciate the **effective data visualization** in ThoughtSpot, enhancing decision-making and streamlining business operations.

##### Cons

- Users experience a **steep learning curve** with ThoughtSpot, finding it challenging and unintuitive initially.
- Users find **missing features** in ThoughtSpot, noting delays in additions and a lack of customization options.
- Users struggle with the **complexity** of ThoughtSpot, finding it non-intuitive and challenging to build formulas effectively.
- Users struggle with **learning difficulties** in ThoughtSpot, finding it non-intuitive and requiring significant IT support.
- Users find the **limited customization options** in ThoughtSpot restrictive, impacting their ability to tailor visualizations effectively.

#### What Are Recent G2 Reviews of ThoughtSpot?

**["Easy-to-Navigate Search with Powerful Filters and Helpful AI Query Tweaks"](https://www.g2.com/survey_responses/thoughtspot-review-13035404)**

**Rating:** 4.0/5.0 stars

_— Verified User in Leisure, Travel & Tourism_

[Read full review](https://www.g2.com/survey_responses/thoughtspot-review-13035404)

**["A modern tool for BI analytics"](https://www.g2.com/survey_responses/thoughtspot-review-7807660)**

**Rating:** 4.0/5.0 stars

_— Akash D._

[Read full review](https://www.g2.com/survey_responses/thoughtspot-review-7807660)

#### What Are G2 Users Discussing About ThoughtSpot?

- [What is ThoughtSpot used for?](https://www.g2.com/discussions/thoughtspot-what-is-thoughtspot-used-for)
- [What does ThoughtSpot do?](https://www.g2.com/discussions/what-does-thoughtspot-do) - 1 comment
- [Is ThoughtSpot a public company?](https://www.g2.com/discussions/is-thoughtspot-a-public-company)
- [What is ThoughtSpot used for?](https://www.g2.com/discussions/what-is-thoughtspot-used-for)
- [What is ThoughtSpot software?](https://www.g2.com/discussions/what-is-thoughtspot-software)

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