Top Free Data Science and Machine Learning Platforms - Page 2

How Many Data Science and Machine Learning Platforms Products Does G2 Track?

Total Products under this Category: 1,646

Category Stats (Oct 2026)

  • Average Rating: 4.46/5 (↓0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Braintrust Data (+1.99%) - Among all products in this category, Braintrust Data recorded the largest rating increase compared to last month

Last updated: October 21, 2026

How Does G2 Rank Data Science and Machine Learning Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 14,600+ Authentic Reviews
  • 1,646+ 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 Data Science and Machine Learning Platforms

G2 Grid® for Data Science and Machine Learning Platforms plotting products by satisfaction and market presence

Highlighted products: Databricks, Gemini platform, SAS Viya, Google Cloud AutoML, IBM watsonx.data, MATLAB, Snowflake, and Dataiku.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=gemini-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=matlab&focus%5B%5D=snowflake&focus%5B%5D=dataiku)

IBM Decision Optimization

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategic planning and scheduling use cases. The solutions enable business decision-makers to choose the optimal course of action from millions of alternatives when faced with decisions that involve multiple variables, trade-off possibilities and complex constraints. The solution incorporates powerful optimization solvers namely CPLEX Optimizer and CP Optimizer to solve the breadth of optimization problems including mathematical and constraint programming and constraint-based scheduling models. Learn more about this portfolio here https://www.ibm.com/analytics/decision-optimization IBM ILOG CPLEX Optimization Studio is one of the products within the IBM Decision Optimization portfolio. Organizations across industries are using IBM ILOG CPLEX Optimization Studio to drive operational efficiency and generate significant ROI by optimizing planning, scheduling, pricing and other business decisions. The offering provides users the flexibility to develop optimization models either using general programming language APIs like Python, Java, or using Optimization Programming Language (OPL). The powerful CPLEX optimization engines can deliver the power necessary to solve very large, real- world optimization problems at the speed required for today’s interactive decision optimization applications. Learn more about this product here - https://www.ibm.com/products/ilog-cplex-optimization-studio IBM Decision Optimization is also included within Watson Studio Premium for Cloud Pak for Data to enable data science teams to capitalize on the power of prescriptive analytics and build innovative solutions using a combination of techniques like machine learning and optimization. Data science teams can easily demonstrate business value of optimization by leveraging tools like visual dashboards & modeling assistant to quickly build models, test/evaluate multiple scenarios, solve using powerful optimization engines and deploy the models easily . IBM Decision Optimization solutions bring more than 30 years of experience in the field and is a proven optimization technology and organizations across industries are using IBM Decision Optimization solutions to run their mission-critical decision-making applications and have benefited by way of reduction in operating costs, increase in revenue and accelerated time to value.

Average Rating: 4.5/5.0

Total Reviews: 35

How Do G2 Users Rate IBM Decision Optimization?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM Decision Optimization?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 59% Large, 22% Small

What Are Recent G2 Reviews of IBM Decision Optimization?

What Are G2 Users Discussing About IBM Decision Optimization?

RapidCanvas

RapidCanvas takes enterprise AI from concept to production to scale. Our Hybrid Approach™ pairs elite human experts with a purpose-built agentic platform. We partner to create custom solutions that are human-led, agent-executed, and built to deliver real outcomes from day one. Most enterprise AI breaks because it fails to solve key problems of context and execution. RapidCanvas is built around solving both. Every engagement starts with your own Enterprise Context Engine™: a living intelligence at the heart of your business. It unifies your data, maps your workflows, and learns from every use case. The more you build, the smarter it gets. Every iteration feeds the engine, and the intelligence compounds, making successful execution at an enterprise scale possible. RapidCanvas serves industry leaders in manufacturing, retail and consumer goods, financial services, business services, supply chain, and infrastructure. Solutions are enterprise-grade, scalable from the start, and compliant with the highest standards for security and privacy. Future-proof by design. Outcome-led by default.

Average Rating: 4.8/5.0

Total Reviews: 38

How Do G2 Users Rate RapidCanvas?

  • Application: 9.5/10 (Category avg: 8.5/10)
  • Managed Service: 9.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.6/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind RapidCanvas?

  • Seller: RapidCanvas
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Austin, Texas
  • Twitter: @rapidcanvas
    86 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    124 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 42% Small, 37% Medium

What Do G2 Reviewers Say About RapidCanvas?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of RapidCanvas, enabling quick data visualization without needing advanced technical skills.
  • Users value RapidCanvas for its time-saving features, enabling quick data visualization and streamlined report sharing.
  • Users praise the intuitive user interface of RapidCanvas for making data visualization quick and easy.
  • Users value the AI integration of RapidCanvas, enabling effective solutions and enhancing digital transformation capabilities.
  • Users value the excellent customer support of RapidCanvas, highlighting its responsiveness and helpfulness during their projects.
Cons
  • Users experience slow performance with RapidCanvas when handling large datasets, impacting efficiency during heavy data tasks.
  • Users find that customization options are limited, affecting their overall experience especially for advanced needs.
  • Users struggle with the complexity of setup, facing challenges in data extraction and AI training for accurate feedback.
  • Users struggle with the difficult setup process, finding it complex to extract data and train the AI effectively.
  • Users note insufficient learning resources for advanced use cases, hindering the ability to fully utilize RapidCanvas.

What Are Recent G2 Reviews of RapidCanvas?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,074

How Do G2 Users Rate Domo?

  • Application: 5.9/10 (Category avg: 8.5/10)
  • Managed Service: 6.4/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 5.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

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Teradata Autonomous Knowledge Platform

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: 354

How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.9/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Teradata Autonomous Knowledge Platform?

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 Teradata Autonomous Knowledge Platform, emphasizing its speed in processing large data volumes.
  • Users value the high performance and scalability of Teradata for handling complex queries and data integration.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, seamlessly integrating and managing vast data resources efficiently.
  • Users commend the extreme performance of Teradata, highlighting its speed in processing large datasets seamlessly.
  • Users value the fast processing of large datasets in Teradata, appreciating its stability and integration capabilities.
Cons
  • Users identify a steep learning curve for Teradata Autonomous Knowledge Platform, hindering new user adaptation and productivity.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, especially for those less technically inclined.
  • Users find the complexity of the Teradata platform challenging, especially for non-technical users and new adopters.
  • Users struggle with the cost transparency of Teradata Autonomous Knowledge Platform, needing close management to avoid issues.
  • Users express concerns about the high cost of the Teradata Autonomous Knowledge Platform, highlighting affordability issues.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

Incorta

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?

  • Application: 9.8/10 (Category avg: 8.5/10)
  • Managed Service: 9.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.4/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Incorta?

  • Seller: Incorta
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    359 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, enhancing their data management efficiency.
  • Users value the easy integrations with various data sources, enhancing their data analysis experience significantly.
  • Users value the ease of integration with various data sources, enhancing their workflow and data management.
Cons
  • Users often face bugs related to outdated JRE support, impacting the performance of the local data agent.

What Are Recent G2 Reviews of Incorta?

What Are G2 Users Discussing About Incorta?

TIMi

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/

Average Rating: 4.8/5.0

Total Reviews: 50

How Do G2 Users Rate TIMi?

  • Application: 8.7/10 (Category avg: 8.5/10)
  • Managed Service: 8.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.0/10 (Category avg: 8.6/10)

Who Is the Company Behind TIMi?

  • Seller: TIMi SPRL
  • Year Founded: 2007
  • HQ Location: Brussels
  • Twitter: @TIMiSuite
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    86 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Banking
  • Company Size: 40% Small, 32% Large

What Do G2 Reviewers Say About TIMi?

AI-generated summary from verified user reviews

Pros
  • Users highlight the exceptional customer support from the TIMi team, noting their quick response times and helpfulness.
  • Users find TIMi easy to use, thanks to its intuitive design and quick learning curve.
  • Users appreciate TIMi's user-friendly interface and exceptional support, making data transformation quick and efficient.
  • Users value the fast and intuitive automation capabilities of TIMi, streamlining data transformations and analyses effectively.
  • Users value the intuitive charting features of TIMi, enabling efficient data visualization and analysis.

What Are Recent G2 Reviews of TIMi?

What Are G2 Users Discussing About TIMi?

Domino Enterprise AI Platform

Domino powers model-driven businesses with its leading Enterprise AI platform that accelerates the development and deployment of data science work while increasing collaboration and governance. More than 20 percent of the Fortune 100 count on Domino to help scale data science, turning it into a competitive advantage. Founded in 2013, Domino is backed by Sequoia Capital and other leading investors.

Average Rating: 4.3/5.0

Total Reviews: 28

How Do G2 Users Rate Domino Enterprise AI Platform?

  • Application: 8.5/10 (Category avg: 8.5/10)
  • Managed Service: 8.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.2/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Domino Enterprise AI Platform?

  • Seller: Domino Data Lab
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @DominoDataLab
    7,974 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    269 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Large, 39% Small

What Do G2 Reviewers Say About Domino Enterprise AI Platform?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Domino Enterprise AI Platform exceptional, streamlining the entire AI lifecycle.
  • Users value the easy integrations with multiple cloud providers, streamlining the AI lifecycle and enhancing collaboration.
  • Users value the seamless integrations of Domino Enterprise AI Platform, enhancing efficiency and collaboration across projects.
  • Users rave about the exceptional training efficiency of Domino, significantly simplifying the AI lifecycle and collaboration.
  • Users appreciate how Domino's platform streamlines the AI lifecycle, significantly reducing overhead and enhancing collaboration and operational efficiency.
Cons
  • As an Indian customer, I find the pricing to be on the higher side, making it less accessible.
  • Users find the difficult setup of Domino Enterprise AI Platform frustrating and time-consuming for efficient use.
  • Users find the pricing to be on the higher side, which impacts their overall perception of Domino Enterprise AI Platform.
  • Users feel the platform lacks guidance for beginners, making it challenging to navigate and fully utilize its features.
  • Users express frustration over the missing features like easy coding IDE and CV video task capabilities in Domino.

What Are Recent G2 Reviews of Domino Enterprise AI Platform?

What Are G2 Users Discussing About Domino Enterprise AI Platform?

TrueFoundry

TrueFoundry is an Enterprise Platform as a Service that enables companies to build, observe, and govern Agentic AI applications securely, scalably, and with reliability through its AI Gateway and Agentic Deployment platform. Leading Fortune 1000 companies trust TrueFoundry to accelerate innovation and deliver AI at scale, with over 1 trillion tokens per day processed via the TrueFoundry AI Gateway and more than 1,000 clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the central control plane for running Agentic AI at scale within enterprises, serving as the command center for enterprise AI. Headquartered in San Francisco, TrueFoundry operates across North America, Europe, and Asia-Pacific, supporting enterprise AI deployments for some of the world’s most innovative organizations. To learn more about TrueFoundry, visit truefoundry.com.

Average Rating: 4.6/5.0

Total Reviews: 58

How Do G2 Users Rate TrueFoundry?

  • Application: 8.1/10 (Category avg: 8.5/10)
  • Managed Service: 8.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind TrueFoundry?

  • Seller: TrueFoundry
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    131 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 49% Medium, 36% Small

What Do G2 Reviewers Say About TrueFoundry?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of TrueFoundry, making deployment and management of ML models effortless and efficient.
  • Users appreciate the easy-to-use UI of TrueFoundry, enabling seamless model deployment and effective monitoring.
  • Users appreciate the exceptional customer support from TrueFoundry, noting their quick and responsive assistance during deployment challenges.
  • Users appreciate the seamless deployment process of TrueFoundry, finding it easy and efficient for their needs.
  • Users commend the easy integrations of TrueFoundry, enhancing deployment efficiency and collaboration across teams.
Cons
  • Users desire a no code/low code environment for LLM Ops and enhanced dashboard support for data pipelines.
  • Users find the complexity of TrueFoundry challenging, especially for advanced features and custom setups.
  • Users find TrueFoundry's features complex to learn, requiring significant setup and expertise for optimal use.
  • Users report deployment issues with Hugging Face models on TrueFoundry, suggesting a need for more fine-tuning options.
  • Users find the difficult setup process challenging, especially without prior cloud or Kubernetes experience.

What Are Recent G2 Reviews of TrueFoundry?

Encord

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Encord works with over 300 leading AI teams, including Woven by Toyota, Zipline, AXA, and Flock Safety. Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

Average Rating: 4.8/5.0

Total Reviews: 65

How Do G2 Users Rate Encord?

  • Application: 9.7/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.6/10)

Who Is the Company Behind Encord?

  • Seller: Encord
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • Twitter: @encord_team
    1,014 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    220 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Hospital & Health Care
  • Company Size: 51% Small, 40% Medium

What Do G2 Reviewers Say About Encord?

AI-generated summary from verified user reviews

Pros
  • Users praise Encord for its responsive customer support, ensuring quick solutions and seamless collaboration during projects.
  • Users commend Encord for its annotation efficiency, appreciating the smooth workflow and intuitive interface that enhances productivity.
  • Users value the intuitive interface and powerful AI features of Encord, enhancing their data annotation efficiency significantly.
  • Users value the efficiency of Encord, experiencing smooth workflows and quick data integration that accelerates their processes.
  • Users value the intuitive interface and comprehensive features of Encord, enhancing efficiency in data curation and annotation.
Cons
  • Users find that custom workflows can be challenging, but support from the team helps mitigate the difficulties.
  • Users find it challenging to keep up with frequent updates from Encord, despite support from their customer success team.
  • Users find it challenging to keep up with best practices due to frequent feature updates from Encord.

What Are Recent G2 Reviews of Encord?

Zepl

Zepl let you use data science to analyze your cloud data warehouse in minutes. Customers use Zepl for all kinds of use cases, including predictive analytics, marketing analytics, preventive maintenance, security, anomaly detection, sales forecasting, product recommendations and more. Zepl is an extensible, cloud-based data science and analytics platform for enterprise teams. With Zepl, teams of data analysts and data scientists can use Python, R, Spark, Scala, and SQL to find insights and make predictions about their most important business challenges, as well as package and present their findings using built-in advanced visualizations.

Average Rating: 4.3/5.0

Total Reviews: 18

How Do G2 Users Rate Zepl?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.4/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Zepl?

  • Seller: DataRobot
  • Year Founded: 2012
  • HQ Location: Boston, Massachusetts
  • Twitter: @DataRobot
    19,225 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    886 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student
  • Top Industries: Computer Software
  • Company Size: 71% Small, 43% Medium

What Are Recent G2 Reviews of Zepl?

Explorium

Explorium is the leading B2B data layer for building high-performance GTM agents. Our seamless API and MCP integrations power agents with premium B2B data, accelerating development, enhancing contextual intelligence, and improving ROI. Backed by years of expertise in B2B data and access to more than 50 data sources, we deliver enterprise-grade data through flexible delivery options. Try it for free at https://www.explorium.ai/sign-up/?utm_source=g2&utm_medium_organic

Average Rating: 4.6/5.0

Total Reviews: 28

How Do G2 Users Rate Explorium?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Explorium?

  • Seller: Explorium
  • HQ Location: San Mateo, California
  • Twitter: @Explorium_ai
    1,347 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Education Management
  • Company Size: 57% Small, 39% Medium

What Are Recent G2 Reviews of Explorium?

What Are G2 Users Discussing About Explorium?

H2O

H2O.ai is the leading AI Cloud company, on a mission to democratize AI and drive an open AI movement around the world. They focus on drawing insights from structured and unstructured data like video and documents with their award-winning products like Hydrogen Torch and Document AI. Customers use the H2O AI Cloud to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI provider to more than 20,000 global organizations, millions of data scientists and over half of the Fortune 500, including AT&T, Commonwealth Bank of Australia, Citi, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever, Goldman Sachs, NVIDIA, and Wells Fargo are not only customers and partners, but strategic investors in the company. More than 30 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are makers at H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.h2o.ai. H2O.ai offers enterprise customers with multiple platforms for AI and machine learning, including the open source distributed machine learning platform H2O-3, automatic machine learning platform H2O Driverless AI, and the recently announced H2O Q, an AI platform for business users: H2O-3 is an open source, scalable and distributed in-memory AI and machine learning platform. H2O-3 also has a strong AutoML functionality and supports the most widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep learning, XGBoost and more. H2O Driverless AI empowers data scientists to work on projects faster and more efficiently by using automation to accomplish tasks quickly with automatic feature engineering, model tuning, model tuning, model selection, model validation and machine learning interpretability, custom recipes, time-series and automatic deployment pipeline generation for model scoring. H2O Q is a new AI platform that provides the essential building blocks to make AI apps and will bring the power of AI to millions of business users. It delivers automatic insights and predictions for “in the moment” business questions and is ideal for data analysts, citizen data scientists and all business users.

Average Rating: 4.5/5.0

Total Reviews: 22

How Do G2 Users Rate H2O?

  • Application: 7.0/10 (Category avg: 8.5/10)
  • Managed Service: 6.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind H2O?

  • Seller: H2O.ai
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @h2oai
    25,222 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    372 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 54% Small, 29% Large

What Are Recent G2 Reviews of H2O?

What Are G2 Users Discussing About H2O?

Spotfire Analytics

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

Average Rating: 4.2/5.0

Total Reviews: 328

How Do G2 Users Rate Spotfire Analytics?

  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Spotfire Analytics?

Who Uses This Product?

  • Who Uses This: Student, Manager
  • Top Industries: Oil & Energy, Information Technology and Services
  • Company Size: 52% Large, 26% Medium

What Do G2 Reviewers Say About Spotfire Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the powerful and flexible data visualization capabilities of Spotfire Analytics, enhancing their data exploration experience.
  • Users appreciate the ease of use of Spotfire Analytics, enabling quick insights and effective decision-making with complex data.
  • Users love the transformative interactive visualizations of Spotfire, simplifying complex data for clear understanding across teams.
  • Users appreciate the easy integrations of Spotfire Analytics, enhancing accuracy and enabling robust AI-powered analytics seamlessly.
  • Users rave about Spotfire's powerful analytics capabilities, enabling advanced data handling and insightful visualizations seamlessly.
Cons
  • Users find Spotfire's steep learning curve challenging, particularly for those unfamiliar with data modeling and scripting.
  • Users find the learning difficulty significant, especially for beginners navigating advanced features and options in Spotfire.
  • Users find the licensing costs high, making Spotfire Analytics less accessible for smaller organizations.
  • Users find the steep learning curve of Spotfire Analytics challenging, especially regarding advanced features and user interface.
  • Users often face a steep learning curve with Spotfire Analytics, making initial use challenging for newcomers.

What Are Recent G2 Reviews of Spotfire Analytics?

What Are G2 Users Discussing About Spotfire Analytics?

Qubole

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us at www.qubole.com.

Average Rating: 4.0/5.0

Total Reviews: 237

How Do G2 Users Rate Qubole?

  • Application: 8.1/10 (Category avg: 8.5/10)
  • Managed Service: 8.6/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Qubole?

  • Seller: Qubole
  • Year Founded: 2011
  • HQ Location: Santa Clara, CA
  • Twitter: @qubole
    9,425 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Scientist
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Large, 44% Medium

What Are Recent G2 Reviews of Qubole?

What Are G2 Users Discussing About Qubole?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Natural Language Understanding: 10.0/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 21, 2026