Best Data Science and Machine Learning Platforms - Page 27

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

Total Products under this Category: 1,719

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
  • 1,719+ 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 Enterprise Agent Platform, SAS Viya, Google Cloud AutoML, Snowflake, IBM watsonx.data, Hex, and MATLAB.

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-enterprise-agent-platform&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-automl&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=hex-tech-hex&focus%5B%5D=matlab)

Captain

Captain is a feature within Grapple, a data platform designed to empower users to build dashboards efficiently using artificial intelligence. Captain introduces a command interface that supports natural language, enabling users to create comprehensive dashboards swiftly without relying on traditional point-and-click methods. Key Features and Functionality: - Natural Language Commands: Users can perform actions such as applying filters, creating bar charts, formulating spreadsheet-style formulas, and aggregating data across applications using simple, natural language commands. - Integration with Multiple Data Sources: Captain supports various data sources, including Ordway, Kit, Attio, Instantly, NPM, and MongoDB, allowing users to consolidate and analyze data from diverse platforms. - Universal Data Library: This feature automates data modeling and cleaning, ensuring that data is immediately queryable regardless of its source. - Percy AI Integration: Captain incorporates Percy, an AI data engineer that translates natural language requests into actionable data visualizations and analyses. Primary Value and User Solutions: Captain addresses the common challenges associated with data visualization and analysis by simplifying the process through natural language commands. This approach eliminates the need for complex interfaces and extensive manual input, making data analysis accessible to a broader range of users. By integrating multiple data sources and automating data preparation, Captain enables users to generate insights quickly and efficiently, thereby enhancing decision-making processes within organizations.

Who Is the Company Behind Captain?

Carbon AI

Who Is the Company Behind Carbon AI?

CardiaTec

CardiaTec is a pioneering TechBio company dedicated to transforming cardiovascular disease treatment through advanced computational modeling and multi-omics data analysis. By integrating genomics, epigenomics, transcriptomics, and proteomics from human cardiac tissues, CardiaTec aims to uncover novel therapeutic targets and develop first-in-class cardiovascular therapies. The company has established a proprietary multi-omics dataset, sourced from a network of 65 hospitals across the UK and US, to support its innovative research initiatives. Key Features and Functionality: - Comprehensive Multi-Omics Data Integration: CardiaTec combines various biological data layers to provide a holistic understanding of cardiovascular disease mechanisms. - Advanced Computational Modeling: Utilizing state-of-the-art AI algorithms, the company analyzes complex datasets to identify and prioritize dysregulated drug targets and disease-related pathways. - Proprietary Data Strategy: With access to human cardiac tissues and corresponding clinical annotations, CardiaTec has built the largest human cardiac tissue multi-omics database, enhancing the discovery of truly novel therapeutics. Primary Value and Problem Solved: Cardiovascular disease remains the leading cause of death globally, claiming approximately 20 million lives annually. Traditional therapeutic development has been hindered by a limited understanding of the disease's complex biology, resulting in stagnated innovation and investment. CardiaTec addresses this challenge by leveraging its proprietary multi-omics dataset and computational platform to decode the intricate mechanisms driving disease progression. This approach facilitates the discovery and development of novel, targeted therapies, aiming to improve patient outcomes and reduce the global burden of cardiovascular diseases.

Who Is the Company Behind CardiaTec?

  • Seller: CardiaTec
  • Year Founded: 2021
  • HQ Location: Cambridge , GB
  • LinkedIn® Page: uk.linkedin.com
    16 employees on LinkedIn®

Cascade

Who Is the Company Behind Cascade?

  • Seller: Cascade
  • Year Founded: 2025
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Caspor AI

Caspor AI is an advanced artificial intelligence platform designed to revolutionize various industries by providing intelligent automation and data-driven insights. By leveraging cutting-edge machine learning algorithms, Caspor AI enables businesses to optimize operations, enhance decision-making processes, and drive innovation. Its versatile applications span across sectors such as healthcare, finance, retail, and manufacturing, offering tailored solutions to meet specific industry needs. Key features and functionalities of Caspor AI include: - Predictive Analytics: Utilizes historical data to forecast future trends, aiding in proactive decision-making. - Natural Language Processing (NLP): Facilitates understanding and processing of human language, enabling efficient customer interactions and data analysis. - Computer Vision: Analyzes visual data to extract meaningful information, applicable in quality control and surveillance. - Automated Workflow Management: Streamlines business processes by automating routine tasks, increasing efficiency and reducing human error. - Customizable AI Models: Offers flexibility to develop and deploy AI models tailored to specific business requirements. The primary value of Caspor AI lies in its ability to transform complex data into actionable insights, thereby solving critical challenges such as operational inefficiencies, data overload, and the need for rapid, informed decision-making. By integrating Caspor AI, organizations can achieve enhanced productivity, cost savings, and a competitive edge in their respective markets.

Who Is the Company Behind Caspor AI?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 22, 2026