Best Data Science and Machine Learning Platforms - Page 7

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

Total Products under this Category: 1,648

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
  • 14,700+ Authentic Reviews
  • 1,648+ 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, Snowflake, MATLAB, 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=snowflake&focus%5B%5D=matlab&focus%5B%5D=dataiku)

RocketML

RocketML is a Super Fast Computational engine for Machine Learning. Built for scientists and engineers, RocketML scales Machine Learning models with no limits. If you have a large data science/analytics team, RocketML will cut your cycle time and costs of people and hardware.

Average Rating: 4.0/5.0

Total Reviews: 4

How Do G2 Users Rate RocketML?

  • Application: 8.8/10 (Category avg: 8.5/10)
  • Managed Service: 7.9/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind RocketML?

  • Seller: RocketML
  • Year Founded: 2017
  • HQ Location: Beaverton, US
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About RocketML?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of automation with RocketML, finding it cost-effective and efficient for deep learning tasks.
  • Users appreciate the significant time and cost savings offered by RocketML’s cloud computing for machine learning tasks.
  • Users appreciate the exceptional customer support from RocketML, enhancing their experience and satisfaction during projects.
  • Users commend the development speed of RocketML, significantly reducing time and costs for machine learning tasks.
  • Users find RocketML's ease of use exceptional, appreciating its seamless integration and satisfactory documentation in healthcare applications.
Cons
  • Users find the complex coding process for integrating pipelines in RocketML challenging prior to production.
  • Users face complexity in integration of pipelines on RocketML, posing challenges before reaching final production.
  • Users believe the cost of RocketML should be more competitive to enhance its appeal.
  • Users find the implementation difficulty of RocketML challenging due to complex integration requirements for machine learning applications.

What Are Recent G2 Reviews of RocketML?

Azure AI Studio

A unified platform for developing and deploying generative AI apps responsibly

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate Azure AI Studio?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 9.4/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.2/10 (Category avg: 8.3/10)

Who Is the Company Behind Azure AI Studio?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About Azure AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless OpenAI integration and access to multiple AI models in Azure AI Studio.
  • Users appreciate the user-friendly interface of Azure AI Studio, enjoying seamless access to various LLMs.
  • Users value the model variety of Azure AI Studio, benefiting from its integration with Open AI and diverse AI models.
  • Users enjoy the intuitive interface of Azure AI Studio, appreciating easy access to all LLMs available.
Cons
  • Users find the outdated content in Azure AI Studio limits their ability to utilize the latest models effectively.
  • Users find the time consumption in configuring models and chunks to be quite demanding and inefficient.
  • Users find the chat interface lacking interactivity, making it challenging to use Azure AI Studio effectively.

What Are Recent G2 Reviews of Azure AI Studio?

Civis

Civis Customer Science is a single solution that combines the best of well-known technology categories like CDPs, DMPs, identity graphs, etc. at unprecedented scale, with leading-edge data science for better decisioning, targeting, and personalization. Aspects of Civis Customer Science include six “families”: Civis Platform: A workbench that enables data scientists and highly technical analysts to use their favorite tools to import and export data, conduct real-time analysis, and automate and scale their workflows so they can efficiently uncover and share insights with decision makers. Identity Resolution & Data Enrichment: Unifies disparate data sets to create a single view of consumers with first-party data, Civis’s proprietary data assets and a probabilistic person-matching algorithm. Research & Social Science: Survey science and creative testing to build better understanding of opinion using the Civis survey infrastructure and weighting methodology to remove bias from surveys. Predictive Modeling: Build and activate individual-level models that predict acquisition targets, lifetime value, likelihood to churn, persuadability, outcome-based segments, and media ingestion to effectively engage each consumer. Attribution & Optimization: Measurement of advertising performance across and within channels to optimize spend. Utilize algorithmic attribution attribution methodology to understand and optimize marketing ROI with a world-class causal inference model.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Civis?

  • 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)

Who Is the Company Behind Civis?

  • Seller: Civis Analytics
  • Year Founded: 2013
  • HQ Location: Chicago, US
  • Twitter: @CivisAnalytics
    8,392 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    42 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Are Recent G2 Reviews of Civis?

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Code Ocean

Code Ocean is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computational Scientists set up and scale their workflows, work closer together, and lets them support non-coding bench scientists with accessible, intuitive applications. Built on FAIR data principles, it helps avoid technical debt, improves data architecture, and improves organizational compliance and quality.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate Code Ocean?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 10.0/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.5/10 (Category avg: 8.3/10)
  • Ease of Admin: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Code Ocean?

  • Seller: Code Ocean
  • Year Founded: 2016
  • HQ Location: New York, New York, United States
  • LinkedIn® Page: www.linkedin.com
    36 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Medium, 50% Small

What Are Recent G2 Reviews of Code Ocean?

HyperSense AI

HyperSense platform is an end-to-end augmented analytics platform that helps enterprises makes faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It contains all the next-gen data analytics capabilities enterprises need in one flexible and modular platform. HyperSense‘s unique no-code capabilities allow users without a knowledge of coding to easily aggregate data from disparate sources, turn data into insights by building, interpreting, and tuning AI models, and effortlessly share their findings across the organization. It uses enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation. It empowers experts as well as non-data scientists by automating many aspects of data science, including model development, management, and deployment of AI models. HyperSense also includes several pre-built analytics use cases in marketing, finance, and technology verticals for enterprises to deliver ultra-fast results. In addition, customers can use the HyperSense platform to build their own tailor-made, AI-powered analytics applications.

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate HyperSense AI?

  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind HyperSense AI?

  • Seller: Subex
  • Year Founded: 1992
  • HQ Location: Westminster, US
  • Twitter: @Subex
    5,503 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,489 employees on LinkedIn®
  • Ownership: NSE: SUBEXLTD

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Do G2 Reviewers Say About HyperSense AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the accessibility of AI for non-experts offered by HyperSense, enhancing their experience and usability.
  • Users praise HyperSense AI for its user-friendly AI integration, making advanced technology accessible to everyone.
  • Users value the real-time analytics of HyperSense AI, empowering timely decision-making with data insights.
  • Users appreciate how HyperSense AI provides clear, actionable insights that enhance data utility and support better decision-making.
  • Users value the business growth insights from HyperSense AI, helping them make informed decisions quickly.
Cons
  • Users are concerned about the high costs associated with deploying and scaling HyperSense AI, particularly for smaller organizations.
  • Users find that deployment issues with HyperSense AI can lead to high costs, particularly for smaller organizations.
  • Users find the difficult learning curve challenging, especially when utilizing advanced predictive modeling features in HyperSense AI.
  • Users find the pricing steep, making it hard to justify for smaller projects or limited budgets.
  • Users find the steeper learning curve challenging when trying to utilize advanced predictive modeling tools effectively.

What Are Recent G2 Reviews of HyperSense AI?

What Are G2 Users Discussing About HyperSense AI?

JARVIS Video Analytics Solution

JARVIS by Staqu is an AI-powered audio and video analytics platform built by Staqu Technologies, transforming existing CCTV infrastructure into actionable intelligence. Powered by AI, computer vision and deep learning, JARVIS delivers real-time video analytics, alerts and operational insights across retail, manufacturing, hospitality, healthcare, public sector, infrastructure and smart cities. JARVIS supports 100+ analytics across safety, security and operations, including Person Re-Identification, facial recognition, object and vehicle search, crowd management, ANPR, intrusion detection, fire and smoke detection, footfall analytics and more. It is designed to work with existing camera infrastructure and supports cloud, edge and on-premise deployment. At Staqu Technologies, our focus is simple: turning existing CCTVs into intelligent systems that can see, understand and help people act faster.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate JARVIS Video Analytics Solution?

  • 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)

Who Is the Company Behind JARVIS Video Analytics Solution?

Who Uses This Product?

  • Company Size: 67% Large, 33% Medium

What Are Recent G2 Reviews of JARVIS Video Analytics Solution?

Liner.AI

Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model. No coding or expertise in machine learning required.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate Liner.AI?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 6.7/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 6.7/10 (Category avg: 8.3/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Liner.AI?

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Liner.AI?

Node AutoML Platform

Node is the first AutoML solution designed for platforms that leverage people and company data. With Node, teams can rapidly create and deploy AI-powered solutions for CRM, marketing automation, customer engagement, and similar platforms, all via a standard API that can be set up in minutes.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate Node AutoML Platform?

  • Application: 8.9/10 (Category avg: 8.5/10)
  • Managed Service: 7.8/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 7.8/10 (Category avg: 8.3/10)
  • Ease of Admin: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Node AutoML Platform?

  • Seller: Node.io
  • Year Founded: 2014
  • HQ Location: Cupertino, US
  • Twitter: @nodeio
    1,957 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Are Recent G2 Reviews of Node AutoML Platform?

OpenText Data Discovery (Magellan)

OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan enables machine-assisted decision making, automation, and business optimization.

Average Rating: 4.2/5.0

Total Reviews: 5

How Do G2 Users Rate OpenText Data Discovery (Magellan)?

  • Application: 8.3/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 6.1/10 (Category avg: 8.6/10)

Who Is the Company Behind OpenText Data Discovery (Magellan)?

  • Seller: OpenText
  • Year Founded: 1991
  • HQ Location: Waterloo, ON
  • Twitter: @OpenText
    21,565 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22,835 employees on LinkedIn®
  • Ownership: NASDAQ:OTEX

Who Uses This Product?

  • Company Size: 40% Large, 40% Medium

What Do G2 Reviewers Say About OpenText Data Discovery (Magellan)?

AI-generated summary from verified user reviews

Pros
  • Users find OpenText Data Discovery (Magellan) easy to use, effectively fulfilling their needs with its features.
  • Users appreciate the unique features of OpenText Data Discovery, finding it user-friendly and effective for their needs.
Cons
  • Users face a steep learning curve due to insufficient training resources for effective use of OpenText Data Discovery.
  • Users note a slight learning curve with OpenText Data Discovery, wishing for improved training resources to enhance usage.
  • Users note a lack of guidance, suggesting the need for improved training to enhance effective application use.
  • Users note a lack of tutorials, leading to a slight learning curve for effective application use.
  • Users note a slight learning curve with OpenText Data Discovery, suggesting improved training for better usage.

What Are Recent G2 Reviews of OpenText Data Discovery (Magellan)?

What Are G2 Users Discussing About OpenText Data Discovery (Magellan)?

PerceptiLabs

PerceptiLabs is a GUI for TensorFlow and a next-generation ML tool with a visual modeler that allows the flexibility of code, some automation in connecting components, all combined with the ease of a drag and drop UI which is a visual API on top of TensorFlow. This makes model building easier, faster, and accessible to a wider spectrum of users. Your benefits include: • Fast modeling – with a drag and drop UI that makes model architecture easy to build and visualize. • Transparency - to more quickly understand how your model works and performs for better explainabilty. • Flexibility - Designed as a visual API on top of TensorFlow, this gives developers the flexibility to access low-level TensorFlow API and the freedom to pull in other Python modules.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate PerceptiLabs?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 9.2/10 (Category avg: 8.3/10)

Who Is the Company Behind PerceptiLabs?

  • Seller: PerceptiLabs
  • Year Founded: 2017
  • HQ Location: San Francisco, US
  • Twitter: @PerceptiLabs
    737 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of PerceptiLabs?

What Are G2 Users Discussing About PerceptiLabs?

PopSQL

PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. * Cross-platform compatibility with macOS, Windows, and Linux * Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more

Average Rating: 4.6/5.0

Total Reviews: 80

How Do G2 Users Rate PopSQL?

  • Application: 9.2/10 (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: 9.5/10 (Category avg: 8.6/10)

Who Is the Company Behind PopSQL?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 43% Small, 37% Medium

What Are Recent G2 Reviews of PopSQL?

What Are G2 Users Discussing About PopSQL?

PrimeHub

PrimeHub is a on-premise machine learning platform that enables AI/ML teams to focus on their true productivity in a collaborative environment. PrimeHub helps administrators manage hardware resources, access control, group quota, datasets and more.

Average Rating: 4.0/5.0

Total Reviews: 3

How Do G2 Users Rate PrimeHub?

  • Application: 9.2/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (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 PrimeHub?

  • Seller: InfuseAI
  • Year Founded: 2018
  • HQ Location: Taipei City, TW
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Do G2 Reviewers Say About PrimeHub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of PrimeHub, highlighting its simple interface and quick setup for new users.
  • Users value the fast processing capabilities of PrimeHub, enabling efficient data management and swift resource allocation.
  • Users find the setup ease of PrimeHub exceptional, enabling quick resource allocation and effortless integration for newcomers.
  • Users appreciate the efficient AI integration in PrimeHub, enhancing data management and user-friendly implementation.
  • Users appreciate the technological capacity of PrimeHub for efficiently processing and storing large amounts of data.
Cons
  • Users struggle with the insufficient learning resources of PrimeHub, finding documentation and tutorials lacking.
  • Users find the lack of guidance frustrating, noting the need for better documentation and tutorials for PrimeHub.
  • Users acknowledge that performance issues arise when processing large data, suggesting room for improvement.
  • Users find the poor documentation of PrimeHub frustrating, wishing for better tutorials to aid implementation.
  • Users appreciate the tool but note that its slow performance can hinder processing large data volumes at times.

What Are Recent G2 Reviews of PrimeHub?

SmartPredict

SmartPredict is an end-to-end AI platform for solving real-world AI USE CASES and allowing everyone to complete AI projects effortlessly, in a simpler and customizable way.

Average Rating: 4.3/5.0

Total Reviews: 3

How Do G2 Users Rate SmartPredict?

  • Application: 6.7/10 (Category avg: 8.5/10)
  • Managed Service: 7.2/10 (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 SmartPredict?

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Are Recent G2 Reviews of SmartPredict?

Spire.AI

Spire.AI is a core technology innovation company focused on bringing unprecedented power of artificial intelligence technologies to enterprise software. Our flagship innovation Spire.AI TalentSHIP® 21 is a unique talent re-visioning solution suite powered by our artificial domain intelligence technology super-platform. The platform, that has evolved over 14 years, has been deployed with game changing outcomes in the re-visioning of an organisation’s talent strategy, and helps organisations transition smoothly to their new talent vision.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate Spire.AI?

  • 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)

Who Is the Company Behind Spire.AI?

  • Seller: Spire.AI
  • Year Founded: 2007
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: in.linkedin.com
    183 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Spire.AI?

Stratifyd

Stratifyd is the only next-gen experience analytics platform powered by Smart AI™ that empowers people of all skill levels to move beyond traditional customer experience analytics. By surfacing insights that existing approaches may miss, Stratifyd Smart AI™ takes the burden of manual analytics off teams, proactively surfacing hidden signals and themes 24/7 to ensure you never miss another insight. Today, many organizations have tons of data but lack the ability, time, resources, or budget to truly expose the insights that matter most to them. This is where Stratifyd stands out. With these challenges in mind, we have purpose-built the Stratifyd platform that will unify data from all your different sources and, through Smart AI™, automatically uncover the actionable insights you didn't know you were missing to: - Hit mission critical KPIs - Grow revenue - Drive loyalty - Reduce costs - Improve efficiency

Average Rating: 4.3/5.0

Total Reviews: 18

How Do G2 Users Rate Stratifyd?

  • Application: 10.0/10 (Category avg: 8.5/10)
  • Managed Service: 8.3/10 (Category avg: 8.3/10)
  • Natural Language Understanding: 8.3/10 (Category avg: 8.3/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Stratifyd?

  • Seller: Stratifyd
  • Year Founded: 2015
  • HQ Location: Charlotte, US
  • Twitter: @getStratifyd
    997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Medium

What Are Recent G2 Reviews of Stratifyd?

What Are G2 Users Discussing About Stratifyd?

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