# Best Analytics Platforms - Page 2

## How Many Analytics Platforms Products Does G2 Track?

**Total Products under this Category:** 371

### 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
- 28,900+ Authentic Reviews
- 371+ 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=29364&focus%5B%5D=1213&focus%5B%5D=10470&focus%5B%5D=1327283&focus%5B%5D=989&focus%5B%5D=604&focus%5B%5D=5048&focus%5B%5D=27024)

Highlighted products: Microsoft Power BI, Tableau, Databricks, SAS Viya, Alteryx, Domo, Looker, and Kyvos Semantic Layer.

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

**Sponsored**

### KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

[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=2026-08-10T04%3A11%3A45Z&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=16291&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%3FhsCtaTracking%3Dda78c647-2cbc-4cf3-b7bf-0a97676c2161%257Cc1f67751-8cd1-4875-8e62-7a1ace41769a%26page%3D2&secure%5Btoken%5D=91b4a5c88f8cb6dc7cbc1d31aafb70f618076d500f5cb91d892d63ae7db026ca&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Yellowfin BI](https://www.g2.com/products/yellowfin-bi/reviews)

Yellowfin is the only analytics suite that successfully combines action based dashboards with industry-leading automated analysis and data storytelling. By delivering the best analytical experience, Yellowfin provides your users with unique ways to engage with and act on their data, and addresses the needs of data analysts, business users, customers and developers who want to build, deploy or use amazing analytical experiences. Analytics for software companies Integrate and embed analytics with a difference into your app, your way \* Replace legacy or home grown reporting tools \* Embed a modern self-service analytics suite \* Deliver an exceptional customer experience Analytics for enterprise Get more value from your data in new and innovative ways \* Migrate from spreadsheets to a modern analytics platform \* Replace legacy BI applications \* Embed analytics into operational workflows Analytical Application Builders Leverage your domain expertise to create data products that delight \* Create unique data driven applications \* Close the loop on analytics \* Deliver insights as a service

**Average Rating:** 4.4/5.0

**Total Reviews:** 419

#### How Do G2 Users Rate Yellowfin BI?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.6/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Yellowfin BI?

- **Seller:** [Yellowfin](https://www.g2.com/sellers/yellowfin)
- **Year Founded:** 2003
- **HQ Location:** Austin, Texas
- **Twitter:** @YellowfinBI  
5,783 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=33032d8c5dedebf7f5eb6ce16c77c740fc71507c8ac4b965be708a6eced00b34&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F358856%2F&secure%5Burl_type%5D=linkedin_company_website)  
64 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** General Manager, Business Analyst
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Small, 35% Medium

#### What Do G2 Reviewers Say About Yellowfin BI?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **user-friendly interface** of Yellowfin BI, enabling easy report and dashboard creation for all expertise levels.
- Users praise Yellowfin BI for its **user-friendly data visualization** , enabling effortless reporting and effective collaboration.
- Users appreciate the **intuitive setup** of Yellowfin BI, allowing for quick and easy access to powerful data insights.
- Users appreciate the **user-friendly interface** of Yellowfin BI, enabling fast, collaborative analytics without technical hurdles.
- Users value the **easy dashboard customization** of Yellowfin BI, enabling quick setups and effective data storytelling.

##### Cons

- Users experience a challenging **learning curve** with Yellowfin BI, finding advanced features non-intuitive and setup complex.
- Users notice that **large data handling** can lead to slower performance and longer filter refresh times.
- Users note that **slow performance** with large datasets limits efficiency, affecting their overall experience with Yellowfin BI.
- Users experience **performance issues** with slow dashboard loading times and complex updates, impacting overall efficiency.
- Users find **limited customization** in Yellowfin BI, restricting advanced analytics and modern visual design options.

#### What Are Recent G2 Reviews of Yellowfin BI?

**["Brilliant Data Storytelling and Robust Dashboards with Yellowfin BI"](https://www.g2.com/survey_responses/yellowfin-bi-review-12827644)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/survey_responses/yellowfin-bi-review-12827644)

**["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)

#### 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
- [What are the benefits of business intelligence?](https://www.g2.com/discussions/what-are-the-benefits-of-business-intelligence)
- [What are the features of Business Intelligence?](https://www.g2.com/discussions/what-are-the-features-of-business-intelligence)

### [FICO Analytics Workbench™](https://www.g2.com/products/fico-analytics-workbencha/reviews)

FICO® Analytics Workbench™ is a comprehensive predictive analytics tool designed to empower businesses in developing and deploying explainable machine learning models. It caters to both business users and data scientists, facilitating data exploration, visual data wrangling, decision strategy design, and machine learning within a unified environment. The platform is built on the high-performance FICO® Decision Management Platform, ensuring scalability and integration with real-time business operations. Key Features and Functionality: - Explainable AI Toolkit: Provides transparency in AI-derived decisions, enabling users to validate and interpret machine learning models effectively. - Integrated Development Environment: Combines decision trees, scorecards, and machine learning techniques, offering a versatile toolkit for model development. - User-Friendly Interface: Designed for users with varying skill sets, from business analysts to data scientists, promoting collaboration and productivity. - Cloud-Based Deployment: Offers a cloud-ready solution, allowing for scalable and flexible deployment options. - Regulatory Compliance Support: Automates the production of necessary documentation to meet internal review and external regulatory requirements. Primary Value and Problem Solving: FICO® Analytics Workbench™ addresses the growing need for transparent and interpretable AI models in business decision-making. By providing tools that make machine learning models explainable, it helps organizations comply with regulatory standards and build trust in AI-driven decisions. The platform's intuitive design and comprehensive features enable faster time-to-value, enhanced productivity, and improved business outcomes through analytically powered decisions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 11

#### How Do G2 Users Rate FICO Analytics Workbench™?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind FICO Analytics Workbench™?

- **Seller:** [FICO](https://www.g2.com/sellers/fico)
- **Year Founded:** 1956
- **HQ Location:** Bozeman, Montana
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2314f7c9d8f522450d313bcbc9f5016b1c07ffcc0b86a4643948f011da1081dc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffico%2F&secure%5Burl_type%5D=linkedin_company_website)  
3,806 employees on LinkedIn®
- **Ownership:** NYSE:FICO
- **Total Revenue (USD mm):** $1,294

#### Who Uses This Product?

- **Company Size:** 45% Large, 27% Medium

#### What Do G2 Reviewers Say About FICO Analytics Workbench™?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of FICO Analytics Workbench™, enhancing their overall efficiency and experience.

#### What Are Recent G2 Reviews of FICO Analytics Workbench™?

**["Fico Analytics Review"](https://www.g2.com/survey_responses/fico-analytics-workbench-review-11044918)**

**Rating:** 5.0/5.0 stars

_— Starr C._

[Read full review](https://www.g2.com/survey_responses/fico-analytics-workbench-review-11044918)

**["From Messy Data to Magic Models: FICO Workbench to the Rescue"](https://www.g2.com/survey_responses/fico-analytics-workbench-review-9701975)**

**Rating:** 4.5/5.0 stars

_— Verified User in Industrial Automation_

[Read full review](https://www.g2.com/survey_responses/fico-analytics-workbench-review-9701975)

### [Count](https://www.g2.com/products/count/reviews)

Count is a modern data collaboration platform that helps data teams actually work together. It combines a data notebook with a real-time collaborative canvas for analysis and visualisation, so everyone can query, debug, and explore data in one place. Count replaces the mess of disconnected tools with a single workspace where analysts, engineers, and stakeholders can write SQL or Python, build visualisations, and share insights instantly. You can import and debug dbt models, see live results from connected CTEs, and export back to dbt Cloud, GitHub, or full SQL scripts. Used by over 500 data teams, including Accenture, Cleo AI, and Too Good To Go, Count helps teams move beyond static dashboards and focus on solving real business problems. It’s data collaboration that actually works.

**Average Rating:** 4.8/5.0

**Total Reviews:** 103

#### How Do G2 Users Rate Count?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.5/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Count?

- **Seller:** [Count Technologies](https://www.g2.com/sellers/count-technologies)
- **Company Website:** count.co
- **Year Founded:** 2016
- **HQ Location:** London, United Kingdom
- **Twitter:** @counthq  
2,104 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0956a6d964e88b30e56b745e48884aede87f2b5b2e3f6bde528e191321aec5b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcounthq%2F&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analytics Engineer
- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 79% Medium, 11% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **collaborative approach** of Count, enhancing teamwork and real-time data sharing effectively.
- Users value the **ease of use** in Count, simplifying data exploration and enhancing collaboration with intuitive tools.
- Users highlight the **responsive customer support** of Count, appreciating quick assistance and a supportive community.
- Users appreciate the **flexibility** of Count, allowing easy data analysis and collaboration for everyone, regardless of technical skills.
- Users praise Count for its **powerful data visualization capabilities** , enhancing exploratory analysis and collaborative reporting effortlessly.

##### Cons

- Users struggle with the **steep learning curve** of Count, especially those unfamiliar with canvas tools like Figma.
- Users experience **slow performance** with large canvases in Count, making navigation and updates frustrating at times.
- Users feel the product has **limited customization options** , hindering their ability to create tailored reports and visuals.
- Users find **missing features** like natural-language queries and basic visuals limit Count's usability and flexibility.
- Users experience **layout issues** that can lead to cluttered canvases, impacting navigation and data exploration workflows.

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

**["Flexible, User-Friendly Collaboration for SQL & Python Analysis with Solid LLM Integration"](https://www.g2.com/survey_responses/count-review-12870160)**

**Rating:** 4.5/5.0 stars

_— Timothy L._

[Read full review](https://www.g2.com/survey_responses/count-review-12870160)

**["Count Streamlines SQL, Python, and Collaborative Data Storytelling"](https://www.g2.com/survey_responses/count-review-13126061)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/count-review-13126061)

### [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)

### [Incorta](https://www.g2.com/products/incorta/reviews)

Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com.

**Average Rating:** 4.4/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Incorta?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 9.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.3/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Incorta?

- **Seller:** [Incorta](https://www.g2.com/sellers/incorta)
- **Company Website:** www.incorta.com
- **Year Founded:** 2013
- **HQ Location:** San Mateo, CA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c8c59dc8a9a75b9a6418a91d4025810db481465cf5bce72225b97c66bb082527&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fincorta%2F&secure%5Burl_type%5D=linkedin_company_website)  
348 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Large, 29% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of integration** with diverse data sources and types in Incorta, streamlining their data management.
- Users value the **easy integrations** with various data sources, enhancing their data management experience significantly.
- Users value the **ease of integration** with various data sources and types in Incorta.

##### Cons

- Users face issues with **bugs** as the local data agent may not support the latest JRE builds effectively.

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

**["Great platformand support"](https://www.g2.com/survey_responses/incorta-review-10853785)**

**Rating:** 5.0/5.0 stars

_— Jeff W._

[Read full review](https://www.g2.com/survey_responses/incorta-review-10853785)

**["Facilitating presentation and information access"](https://www.g2.com/survey_responses/incorta-review-9467627)**

**Rating:** 5.0/5.0 stars

_— Elsayed H._

[Read full review](https://www.g2.com/survey_responses/incorta-review-9467627)

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

- [Is Incorta a data warehouse?](https://www.g2.com/discussions/is-incorta-a-data-warehouse)
- [What is Incorta?](https://www.g2.com/discussions/what-is-incorta)
- [What do you know about Incorta?](https://www.g2.com/discussions/what-do-you-know-about-incorta)
- [What is Incorta used for?](https://www.g2.com/discussions/what-is-incorta-used-for) - 1 comment

### [Deepnote](https://www.g2.com/products/deepnote/reviews)

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models. 🤖 Analyze with AI • Generate code and visualizations by describing your goal. • Auto-write, run, and debug code with AI. • Move faster with context-aware AI suggestions. 🔗 Unify • Connect to 60+ data sources like BigQuery, Snowflake, and PostgreSQL. • Combine Python and SQL in one notebook. • Build reusable ETL, analytics, and metric modules. • Create a semantic layer with shared definitions and trusted metrics. ⚖️ Scale • Instantly boost compute power, more included than Colab. • Schedule jobs and get notified with fresh results. • Organize work in projects and folders for team clarity. • Manage workflows via REST API. 🚀 Launch • Turn notebooks into dashboards or data apps, natively or with Streamlit. • Let users explore data with interactive inputs. • Share secure, live apps in one click.

**Average Rating:** 4.5/5.0

**Total Reviews:** 382

#### How Do G2 Users Rate Deepnote?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Steps to Answer:** 7.7/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Deepnote?

- **Seller:** [Deepnote](https://www.g2.com/sellers/deepnote)
- **Company Website:** www.deepnote.com
- **Year Founded:** 2019
- **HQ Location:** San Francisco , US
- **Twitter:** @DeepnoteHQ  
5,239 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0d297cbb8d96f5409e14da076c1669be4aa5b9bc29dd1db4c4a0ea90b79466ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdeepnote&secure%5Burl_type%5D=linkedin_company_website)  
17 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Data Analyst
- **Top Industries:** Computer Software, Higher Education
- **Company Size:** 67% Small, 25% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Deepnote, facilitating collaboration and simplifying data analysis tasks.
- Users appreciate the **seamless collaboration** capabilities of Deepnote, enhancing teamwork and project efficiency significantly.
- Users value the **real-time collaboration** in Deepnote, enhancing teamwork and efficiency in data analysis processes.
- Users appreciate the **easy integrations** in Deepnote, enabling seamless workflow and efficient data management.
- Users appreciate the **easy data management** in Deepnote, enabling seamless integration and collaborative analytics.

##### Cons

- Users notice **slow performance** with large datasets, affecting the application's responsiveness and analysis agility.
- Users find the **limited features** of Deepnote hinder its usability and comparability with other tools.
- Users report issues with **data management** , including slowness, kernel crashes, and unintuitive file navigation.
- Users experience **lagging performance** with Deepnote, particularly when handling large datasets or multiple requests.
- Users often experience **slow loading** times in Deepnote, especially with larger projects, impacting their efficiency and workflow.

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

**["Real-Time Collaboration That Makes Lab Work Easy"](https://www.g2.com/survey_responses/deepnote-review-13100282)**

**Rating:** 5.0/5.0 stars

_— Gabriel P._

[Read full review](https://www.g2.com/survey_responses/deepnote-review-13100282)

**["Deepnote Makes Team Data Work Seamless with Real-Time Collaboration"](https://www.g2.com/survey_responses/deepnote-review-13121723)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/deepnote-review-13121723)

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

- [How do you use a deep note?](https://www.g2.com/discussions/how-do-you-use-a-deep-note)
- [Is Deepnote open source?](https://www.g2.com/discussions/is-deepnote-open-source)
- [Is Deepnote good?](https://www.g2.com/discussions/is-deepnote-good) - 1 comment
- [Is Deepnote better than Colab?](https://www.g2.com/discussions/is-deepnote-better-than-colab) - 1 comment

### [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

### [Lightdash](https://www.g2.com/products/lightdash/reviews)

Lightdash is the fastest way for modern data teams to build and scale AI-powered self-serve analytics. It enables analysts to define metrics and make them accessible to non-technical users, who can explore data and build dashboards without writing SQL. Lightdash integrates with modern data stacks, supports a governed semantic layer, and offers developer-friendly features like Git-based workflows. It is designed to reduce the overhead of maintaining BI tools, streamline metric definitions, and improve access to consistent data across teams. Lightdash is used and trusted by companies of all sizes, from start ups to international publicly listed organisations.

**Average Rating:** 4.9/5.0

**Total Reviews:** 19

#### How Do G2 Users Rate Lightdash?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.4/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Lightdash?

- **Seller:** [Lightdash](https://www.g2.com/sellers/lightdash)
- **HQ Location:** San Francisco, US
- **Twitter:** @lightdash\_devs  
2,416 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=dd708d86fee7e058d7253b4a21e1d60a688c90c33fdcfc79dc18c329d1b5e09c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flightdash%2F&secure%5Burl_type%5D=linkedin_company_website)  
29 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 58% Medium, 21% Large

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

**["Precise Data Insights, Minor Clunky Aspects"](https://www.g2.com/survey_responses/lightdash-review-12669063)**

**Rating:** 4.5/5.0 stars

_— Alice P._

[Read full review](https://www.g2.com/survey_responses/lightdash-review-12669063)

**["Lightdash: Lightning-Fast dbt-Powered BI with Rapid Feature Releases"](https://www.g2.com/survey_responses/lightdash-review-12586837)**

**Rating:** 5.0/5.0 stars

_— Moritz V._

[Read full review](https://www.g2.com/survey_responses/lightdash-review-12586837)

### [Coefficient](https://www.g2.com/products/coefficient/reviews)

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

**Average Rating:** 4.7/5.0

**Total Reviews:** 195

#### How Do G2 Users Rate Coefficient?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.1/10)
- **Reports Interface:** 10.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Coefficient?

- **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient)
- **Company Website:** coefficient.io
- **Year Founded:** 2020
- **HQ Location:** Palo Alto, CA
- **Twitter:** @coefficient\_io  
346 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1a36ef868415520ac840f5699de01e684ba3b9e328d0a3215043fadd7d1bd7ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoefficientworks%2F&secure%5Burl_type%5D=linkedin_company_website)  
71 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with Coefficient, enjoying seamless data extraction and hassle-free connectivity.
- Users love the **automation capabilities** of Coefficient, which simplify data integration and save significant time.
- Users appreciate the **seamless integrations** of Coefficient, effortlessly syncing data between Salesforce, QuickBooks, and Google Sheets.
- Users love the **easy integrations** of Coefficient, drastically improving workflow and enabling hassle-free data syncing.
- Users enjoy the **time-saving automation** of Coefficient, regaining hours each week with effortless data management.

##### Cons

- Users find the **feature limitations** of Coefficient frustrating, especially with filtering and data formatting issues.
- Users face **limited features** with Coefficient, particularly regarding filter and import restrictions compared to Google Sheets.
- Users are dissatisfied with the **missing features** in Coefficient, such as limited filter options and inadequate chart integration.
- Users face **filter limitations** in Coefficient, impacting their ability to manage data efficiently across imports.
- Users face **integration issues** with Coefficient, particularly lacking essential features and facing frustrating import formats.

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

**["Efficient, User-Friendly Tool for Integrating Salesforce with Google Sheets"](https://www.g2.com/survey_responses/coefficient-review-12701723)**

**Rating:** 5.0/5.0 stars

_— Ellen Dericks C._

[Read full review](https://www.g2.com/survey_responses/coefficient-review-12701723)

**["Seamless Database Queries in Google Sheets with Responsive Support"](https://www.g2.com/survey_responses/coefficient-review-13098229)**

**Rating:** 4.5/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/coefficient-review-13098229)

### [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

**Average Rating:** 4.5/5.0

**Total Reviews:** 104

#### How Do G2 Users Rate KNIME?

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.1/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind KNIME?

- **Seller:** [KNIME](https://www.g2.com/sellers/knime)
- **Company Website:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
245 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 41% Large, 33% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly.
- Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly.
- Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly.
- Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development.
- Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand.

##### Cons

- Users find the **initial learning curve challenging** , especially for those new to data science and visual programming.
- Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files.
- Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files.
- Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility.
- Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities.

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

**["KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI"](https://www.g2.com/survey_responses/knime-review-12992618)**

**Rating:** 5.0/5.0 stars

_— Guylaine B._

[Read full review](https://www.g2.com/survey_responses/knime-review-12992618)

**["KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals"](https://www.g2.com/survey_responses/knime-review-12976842)**

**Rating:** 5.0/5.0 stars

_— Charm M._

[Read full review](https://www.g2.com/survey_responses/knime-review-12976842)

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

- [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for)
- [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment
- [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics)
- [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good)
- [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform)

### [Luzmo](https://www.g2.com/products/luzmo/reviews)

Customers choose Luzmo to give their users clean, intuitive analytics directly inside their product, without forcing them into a separate BI tool. Reviews highlight how fast teams can move from raw data to fully branded dashboards, how easy it is for non‑technical users to explore and customize their own views, and how seamless the embedding experience feels. Many users call out Luzmo’s customer‑first support and dedicated CSMs as a key reason they can roll out new analytics experiences quickly and keep improving them over time.

**Average Rating:** 4.6/5.0

**Total Reviews:** 70

#### How Do G2 Users Rate Luzmo?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Steps to Answer:** 8.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.8/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Luzmo?

- **Seller:** [Luzmo NV](https://www.g2.com/sellers/luzmo-nv)
- **Year Founded:** 2015
- **HQ Location:** Brooklyn, US
- **Twitter:** @luzmo\_official  
895 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d225d4544e9582bc94836bf9a260ea1afd86c53d8d59f73f4504786a1521c939&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10198259%2F&secure%5Burl_type%5D=linkedin_company_website)  
49 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 59% Small, 32% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive ease of use** of Luzmo, enabling quick adoption and fast dashboard creation.
- Users are impressed by Luzmo's **embedding features** , enabling quick insights and seamless integration into their SaaS applications.
- Users value the **customization features** of Luzmo, enabling tailored applications and efficient management across diverse client environments.
- Users commend Luzmo for its **intuitive interface and rapid deployment** , enabling quick insights and analytics integration.
- Users praise the **easy setup** of Luzmo, enabling swift adoption and fast deployment of analytics tools.

##### Cons

- Users find Luzmo's **complexity challenging** , with setup difficulties and limited querying capabilities hindering efficiency.
- Users are disappointed by Luzmo's **limited options** for complex queries and insufficient chart functionality.
- Users note **performance issues** with large datasets and lag in the interface, affecting overall workflow experience.
- Users experience **table limitations** with Luzmo, hindering complex queries and causing challenges with data handling.
- Users experience **performance and sync issues** with Luzmo, especially when handling larger datasets, impacting usability.

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

**["Fast, Beautiful Dashboards and Effortless Embedding"](https://www.g2.com/survey_responses/luzmo-review-11991075)**

**Rating:** 4.5/5.0 stars

_— Shanti B._

[Read full review](https://www.g2.com/survey_responses/luzmo-review-11991075)

**["Powerful Embedded BI with Proactive Support Addressing Performance at Scale"](https://www.g2.com/survey_responses/luzmo-review-12246440)**

**Rating:** 4.5/5.0 stars

_— Verified User in Logistics and Supply Chain_

[Read full review](https://www.g2.com/survey_responses/luzmo-review-12246440)

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

- [What is Cumul.io used for?](https://www.g2.com/discussions/what-is-cumul-io-used-for)

### [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)

### [SAS Enterprise Guide](https://www.g2.com/products/sas-enterprise-guide/reviews)

SAS Enterprise Guide is a Windows-based client application that provides a user-friendly, point-and-click interface to the powerful analytics capabilities of SAS software. Designed to cater to both novice and experienced users, it facilitates data access, management, analysis, and reporting without the need for extensive programming knowledge. By integrating a wide array of analytical tasks with an intuitive graphical interface, SAS Enterprise Guide empowers users to efficiently conduct complex analyses and share results across their organization. Key Features and Functionality: - Intuitive Interface and Wizards: Offers guided access to SAS capabilities, from basic reporting to advanced analyses, through flexible wizards and an intuitive process flow diagram facility. - Comprehensive Analytical Tasks: Includes over 100 prebuilt tasks for descriptive statistics, predictive modeling, regression analysis, and more, enabling users to perform complex analyses without writing code. - Data Management: Provides a powerful graphical query builder for accessing and manipulating various data types, including SAS datasets and native Windows data types, without requiring SQL expertise. - OLAP Access and Visualization: Supports dynamic slicing, drilling, and pivoting of data for exploration, with integration capabilities for SAS OLAP Server and other third-party vendors supporting OLE DB for OLAP. - Result Distribution and Sharing: Facilitates the distribution of results through multiple channels, including SAS BI report/content repository, Microsoft Office documents, and email, ensuring seamless sharing and collaboration. - High-Performance Computing and Grid Enablement: Automatically detects grid environments for efficient processing, analyzes SAS programs to optimize performance, and enables parallel execution of tasks on the same server. Primary Value and User Solutions: SAS Enterprise Guide addresses the need for a self-service analytics environment that empowers business analysts and other users to perform sophisticated data analyses without relying heavily on IT departments. By providing guided access to data integration, preparation, analytics, and reporting, it enables users to quickly access data, conduct analyses, and distribute results, thereby accelerating decision-making processes. The integration with SAS Viya further enhances its capabilities, allowing users to leverage modern, cloud-based platforms for scalable and efficient analytics. This comprehensive toolset ultimately helps organizations harness their data effectively, leading to more informed business decisions and improved operational efficiency.

**Average Rating:** 4.3/5.0

**Total Reviews:** 112

#### How Do G2 Users Rate SAS Enterprise Guide?

- **Has the product been a good partner in doing business?:** 9.0/10 (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:** 8.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Enterprise Guide?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [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®
- **Phone:** 1-800-727-0025

#### Who Uses This Product?

- **Top Industries:** Banking, Hospital & Health Care
- **Company Size:** 57% Large, 26% Medium

#### What Do G2 Reviewers Say About SAS Enterprise Guide?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in SAS Enterprise Guide, finding it accessible for beginners and non-technical users.
- Users enjoy the **flexible user interface** of SAS Enterprise Guide, combining coding freedom with intuitive GUI features.
- Users value the **efficient data analysis** capabilities of SAS Enterprise Guide, enhancing decision-making through integrated tools.
- Users value the **effective data visualization** capabilities of SAS Enterprise Guide, enhancing decision-making with ease.
- Users find SAS Enterprise Guide's **ease of learning** excellent, accommodating everyone from beginners to experts effectively.

##### Cons

- Users experience **slow performance** with SAS Enterprise Guide, making data manipulation and debugging cumbersome.
- Users find the **complex usage** challenging, especially first-time navigation and finding options within the menus.
- Users find the **learning curve steep** due to a clunky interface and complicated menu navigation.
- Users often find SAS Enterprise Guide **buggy and slow** , making data manipulation a challenging experience.
- Users often struggle with **integration issues** , finding it hard to connect SAS Enterprise Guide to various systems.

#### What Are Recent G2 Reviews of SAS Enterprise Guide?

**["Dynamic and User-Friendly with Robust Performance"](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12706111)**

**Rating:** 4.5/5.0 stars

_— Charles A._

[Read full review](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12706111)

**["Versatile Tool with Room for UI Improvement"](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12713363)**

**Rating:** 5.0/5.0 stars

_— Alec E._

[Read full review](https://www.g2.com/survey_responses/sas-enterprise-guide-review-12713363)

#### What Are G2 Users Discussing About SAS Enterprise Guide?

- [What is SAS Enterprise Guide used for?](https://www.g2.com/discussions/sas-enterprise-guide-what-is-sas-enterprise-guide-used-for)
- [How much is SAS Enterprise Guide?](https://www.g2.com/discussions/how-much-is-sas-enterprise-guide)
- [What is the latest version of SAS Enterprise Guide?](https://www.g2.com/discussions/what-is-the-latest-version-of-sas-enterprise-guide)
- [What is the difference between SAS Studio and SAS Enterprise Guide?](https://www.g2.com/discussions/what-is-the-difference-between-sas-studio-and-sas-enterprise-guide)
- [What is SAS Enterprise Guide used for?](https://www.g2.com/discussions/what-is-sas-enterprise-guide-used-for)

### [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews)

Find out what is happening in your business and take meaningful action quickly with Splunk Enterprise. Automate the collection, indexing and alerting of machine data that's critical to your operations. Uncover the actionable insights from all your data — no matter the source or format. Leverage artificial intelligence and machine learning for predictive and proactive business decisions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 415

#### How Do G2 Users Rate Splunk Enterprise?

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)
- **Reports Interface:** 5.0/10 (Category avg: 8.7/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Splunk Enterprise?

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco  
720,366 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website)  
95,545 employees on LinkedIn®
- **Ownership:** NASDAQ:CSCO

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 64% Large, 27% Medium

#### What Do G2 Reviewers Say About Splunk Enterprise?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **innovation** of Splunk Enterprise, appreciating its user-friendly features and powerful analytics capabilities.
- Users value the **customization features** of Splunk Enterprise, enabling tailored insights and dynamic dashboards for effective monitoring.
- Users commend the **ease of use** of Splunk Enterprise, enhancing effective monitoring and quick issue resolution.
- Users value the **efficient log management** capabilities of Splunk Enterprise for accurate analysis and insights.
- Users value the **powerful reporting features** of Splunk Enterprise, enhancing data analysis and visualization capabilities significantly.

##### Cons

- Users find Splunk Enterprise to be **expensive** , especially as data volumes grow, impacting smaller teams' operations.
- Users face a **steep learning curve** with Splunk Enterprise, which can hinder quick mastery of its features.
- Users highlight the **expensive licensing** of Splunk Enterprise, making it difficult for some companies to adopt.
- Users face **integration issues** with Splunk Enterprise, requiring better add-ons and simpler architecture for easier deployment.
- Users feel that Splunk Enterprise has **missing features** , lacking important add-ons and more flexible data onboarding options.

#### What Are Recent G2 Reviews of Splunk Enterprise?

**["SPL search and dashboards are really useful"](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)**

**Rating:** 4.0/5.0 stars

_— Nishith J._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12547655)

**["Excellent Enterprise Observability and Log Management Solution for Hybrid Cloud Infrastructure"](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)**

**Rating:** 4.5/5.0 stars

_— RaviShankar S._

[Read full review](https://www.g2.com/survey_responses/splunk-enterprise-review-12045230)

#### What Are G2 Users Discussing About Splunk Enterprise?

- [What is Splunk Enterprise used for?](https://www.g2.com/discussions/what-is-splunk-enterprise-used-for) - 1 comment
- [What is the difference between Splunk Enterprise and Splunk Enterprise Security?](https://www.g2.com/discussions/splunk-enterprise-what-is-the-difference-between-splunk-enterprise-and-splunk-enterprise-security) - 1 comment
- [What are Splunk Enterprise components?](https://www.g2.com/discussions/what-are-splunk-enterprise-components) - 1 comment
- [Which apps ship with Splunk Enterprise?](https://www.g2.com/discussions/which-apps-ship-with-splunk-enterprise) - 1 comment
- [What does Splunk Enterprise do?](https://www.g2.com/discussions/what-does-splunk-enterprise-do) - 1 comment

### [Knowi](https://www.g2.com/products/knowi/reviews)

Knowi is an end-to-end AI-powered analytics platform designed for modern data, enabling enterprises of all sizes to dramatically accelerate the journey from raw data to actionable insights. With native integration to virtually any data source—including SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB), REST APIs, cloud databases, and documents—Knowi eliminates the need for complex data transformation processes required by alternative solutions. Data teams can integrate, blend, visualize, and analyze data from any source 10X faster, all within a single platform. They can then leverage AI to uncover insights, embed analytics into applications, share dashboards with business users, and automate reporting.

**Average Rating:** 4.9/5.0

**Total Reviews:** 28

#### How Do G2 Users Rate Knowi?

- **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.1/10)
- **Steps to Answer:** 9.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.7/10 (Category avg: 8.7/10)
- **Calculated Fields:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Knowi?

- **Seller:** [Knowi](https://www.g2.com/sellers/knowi)
- **Year Founded:** 2015
- **HQ Location:** Oakland, California
- **Twitter:** @knowico  
2,636 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=61ad6fa1581f1b8c0daf229ae53df829f1526520a28e14f74ac3121af71ff6d6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3675224%2F&secure%5Burl_type%5D=linkedin_company_website)  
24 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 46% Small, 39% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise Knowi's **exceptional customer support** , highlighting quick responses and tailored assistance throughout their onboarding process.
- Users commend Knowi for its **exceptional onboarding experience** , ensuring a seamless transition and tailored guidance for success.
- Users appreciate the **AI-driven analytics** of Knowi, enhancing data connections and reporting with proactive support.
- Users value the **automation capabilities** of Knowi, streamlining reporting and drastically reducing manual data management efforts.
- Users value the **ease of use** of Knowi, appreciating intuitive dashboards and excellent onboarding support for a quick start.

##### Cons

- Users find the **learning curve steep** , especially for advanced features and complex data integration with Knowi.
- Users find a **lack of guidance** for API connections challenging, making initial setup time-consuming with Knowi.
- Users feel the **lack of tutorials** for API connections in Knowi makes initial setup time-consuming and challenging.

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

**["Intuitive Dashboarding with Exceptional Support"](https://www.g2.com/survey_responses/knowi-review-12378559)**

**Rating:** 5.0/5.0 stars

_— Jose D._

[Read full review](https://www.g2.com/survey_responses/knowi-review-12378559)

**["One analytics layer across our SQL and NoSQL data and now Al our customers can use"](https://www.g2.com/survey_responses/knowi-review-13186089)**

**Rating:** 5.0/5.0 stars

_— Michael S._

[Read full review](https://www.g2.com/survey_responses/knowi-review-13186089)

- [‹ Prev‹ Prev](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score#product-list)
- [1](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score#product-list)
- 2
- [3](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=3#product-list)
- [4](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=4#product-list)
- [5](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=5#product-list)
- [6](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=6#product-list)
- …
- [24](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=24#product-list)
- [25](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=25#product-list)
- [Next ›Next ›](/categories/analytics-platforms?hsCtaTracking=da78c647-2cbc-4cf3-b7bf-0a97676c2161%7Cc1f67751-8cd1-4875-8e62-7a1ace41769a&order=g2_score&page=3#product-list)

Spotlight Categories

[Sales Intelligence Software](https://www.g2.com/categories/sales-intelligence)

[HCM Software](https://www.g2.com/categories/hcm-software)

[SMS Marketing Software](https://www.g2.com/categories/sms-marketing)

[Accounting Software](https://www.g2.com/categories/accounting)

[Cloud Infrastructure Monitoring Tools and Software](https://www.g2.com/categories/cloud-infrastructure-monitoring)

Similar Categories

- [Agentic Analytics](/categories/agentic-analytics)
- [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms)
- [Business Intelligence](/categories/business-intelligence)
- [Data Virtualization](/categories/data-virtualization)
- [Drone Analytics](/categories/drone-analytics)

- [Enterprise Search Software](/categories/enterprise-search-software)
- [Graph Visualization Tools](/categories/graph-visualization-tools)
- [Insight Engines](/categories/insight-engines)
- [Other Analytics](/categories/other-analytics)
- [Predictive Analytics](/categories/predictive-analytics)

- [Site Search Software](/categories/site-search-software)
- [Statistical Analysis](/categories/statistical-analysis)
- [Text Analysis](/categories/text-analysis)
- [Time Series Intelligence](/categories/time-series-intelligence)
- [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence)

[Browse Analytics Platforms Themes](/categories/analytics-platforms/themes)

 ![Tian Lin](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tian Lin")
TL

Researched and written by [Tian Lin](https://research.g2.com/insights/author/tian-lin)

Updated July 2, 2025

Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making.

Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business.

These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization.

Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly.

Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience.

Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization.

To qualify for inclusion in the Analytics Platforms category, a product must:

- Ingest and integrate data from a wide range of structured and semi-structured sources
- Prepare and transform data using built-in tools for cleaning, enrichment, and formatting
- Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps
- Enable users to model data relationships, join datasets, and explore data interactively
- Offer tools to build meaningful business reports, dashboards, and visualizations
- Allow creation and sharing of internal analytics applications or embedded insights across teams

Show More