Best Enterprise Data Science and Machine Learning Platforms - Page 3

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

Total Products under this Category: 1,682

Category Stats (Sep 2026)

  • Average Rating: 4.46/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Anyscale (+4.14%) - Among all products in this category, Anyscale recorded the largest rating increase compared to last month

Last updated: September 01, 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
  • 14,400+ Authentic Reviews
  • 1,682+ 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, SAS Viya, Gemini Enterprise Agent Platform, Dataiku, Alteryx, IBM watsonx.ai, Deep Learning VM Image, and Google Cloud AI Hub.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.json?focus%5B%5D=databricks&focus%5B%5D=sas-sas-viya&focus%5B%5D=gemini-enterprise-agent-platform&focus%5B%5D=dataiku&focus%5B%5D=alteryx&focus%5B%5D=ibm-watsonx-ai&focus%5B%5D=deep-learning-vm-image&focus%5B%5D=google-cloud-ai-hub&segment=enterprise)

Saturn Cloud

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage ML models with any stack, and give IT security the controls that work for your enterprise. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io

Average Rating: 4.8/5.0

Total Reviews: 320

How Do G2 Users Rate Saturn Cloud?

  • Application: 9.1/10 (Category avg: 8.5/10)
  • Managed Service: 9.1/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Saturn Cloud?

  • Seller: Saturn Cloud
  • Year Founded: 2018
  • HQ Location: New York, US
  • Twitter: @saturn_cloud
    3,279 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    41 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist, Student
  • Top Industries: Computer Software, Higher Education
  • Company Size: 82% Small, 12% Medium

What Do G2 Reviewers Say About Saturn Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Saturn Cloud, appreciating its intuitive setup and versatile notebook options.
  • Users appreciate the powerful GPU performance of Saturn Cloud, enabling faster simulations and efficient project development.
  • Users appreciate the powerful GPU resources of Saturn Cloud, enhancing their learning projects with ease and robustness.
  • Users enjoy the easy setup with Saturn Cloud, making it convenient to start working on projects quickly.
  • Users appreciate the easy integrations of Saturn Cloud, enabling seamless access to powerful resources for their projects.
Cons
  • Users find Saturn Cloud's pricing expensive compared to alternatives and suggest a more affordable plan for students.
  • Users find the complexity issues of Saturn Cloud challenging, particularly with documentation and pricing confusion for beginners.
  • Users struggle with poor documentation that complicates the learning process and hinders effective use of Saturn Cloud.
  • Users find the difficult setup process challenging initially, but it improves with familiarity and updated documentation.
  • Users find the insufficient learning resources challenging, particularly for beginners trying to master advanced features.

What Are Recent G2 Reviews of Saturn Cloud?

Qlik Predict

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple user experience focused on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface. Machine learning (ML) is a branch of artificial intelligence (AI) focused on the process of recognizing patterns in historical data to predict outcomes in the future. ML uses historically observed data as an input, applies a mathematical process against that data, and creates an output called a machine learning model based on patterns in historical data. This model can then be used to make future predictions and test scenarios.

Average Rating: 4.4/5.0

Total Reviews: 78

How Do G2 Users Rate Qlik Predict?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.2/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Qlik Predict?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 31% Small

What Do G2 Reviewers Say About Qlik Predict?

AI-generated summary from verified user reviews

Pros
  • Users value the automation features of Qlik Predict, enabling seamless machine learning model creation and integration without coding.
  • Users enjoy the ease of use of Qlik Predict, benefiting from a friendly no-code interface and intuitive automation.
  • Users value the intuitive AI integration of Qlik Predict, enabling quick, no-code machine learning model deployment.
  • Users appreciate the user-friendly, no-code approach of Qlik Predict, enabling accessible machine learning for everyone.
  • Users value the user-friendly AI capabilities of Qlik Predict, enabling easy deployment of predictive models without coding.
Cons
  • Users note the limited customization of Qlik Predict, which may hinder advanced users seeking more control over their models.
  • Users experience deployment issues due to limited model flexibility and integration options within Qlik Predict.
  • Users note the lack of features in Qlik Predict, particularly regarding customization and deployment flexibility.
  • Users find the required knowledge of data science a barrier, limiting optimizations and effective model interpretation.
  • Users note the limited flexibility of Qlik Predict, particularly due to its no-code approach and ecosystem restrictions.

What Are Recent G2 Reviews of Qlik Predict?

What Are G2 Users Discussing About Qlik Predict?

SAS Enterprise Miner

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage.

Average Rating: 4.2/5.0

Total Reviews: 185

How Do G2 Users Rate SAS Enterprise Miner?

  • Application: 8.1/10 (Category avg: 8.5/10)
  • Managed Service: 8.1/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.1/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.7/10 (Category avg: 8.6/10)

Who Is the Company Behind SAS Enterprise Miner?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 60% Large, 28% Medium

What Do G2 Reviewers Say About SAS Enterprise Miner?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of installation in SAS Enterprise Miner, allowing for quick node-based analysis setup.
  • Users appreciate the ease of node-based analysis in SAS Enterprise Miner, enhancing their analytical workflow.
  • Users value the ease of creating node-based analyses with SAS Enterprise Miner, enhancing their analytical capabilities.
Cons
  • Users find the learning curve steep, especially when generating output to other SAS products as beginners.
  • Users find SAS Enterprise Miner not user-friendly, especially when generating output without sufficient experience.
  • Users find the steep learning curve of SAS Enterprise Miner challenging, especially when generating output to other SAS products.

What Are Recent G2 Reviews of SAS Enterprise Miner?

What Are G2 Users Discussing About SAS Enterprise Miner?

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?