Best Data Science and Machine Learning Platforms - Page 105

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

Total Products under this Category: 1,647

Category Stats (Oct 2026)

  • Average Rating: 4.46/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Foundry (+1.15%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

Last updated: October 13, 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
  • 1,647+ 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, 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-enterprise-agent-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)

VerbaGPT

VerbaGPT is an innovative tool designed to simplify data analysis by enabling users to interact with their data using natural language queries. By leveraging large language models (LLMs), VerbaGPT allows users to ask questions about their SQL databases, CSV files, or personal notes and receive immediate, insightful answers. The platform emphasizes data privacy by operating locally on the user's hardware, ensuring that sensitive information remains secure. Key Features and Functionality: - Advanced Analytics: Beyond basic data aggregation, VerbaGPT supports complex queries, data modeling, and the creation of visualizations, enabling comprehensive data analysis. - Text-to-Python Capability: The platform translates natural language queries into Python code, encompassing SQL operations and a wide range of statistical and visualization functions. - Data Privacy: VerbaGPT runs locally, ensuring that the LLM does not have direct access to the user's data. Only schema information explicitly provided by the user is shared, maintaining data confidentiality. - User-Friendly Design: The application is intuitive, allowing users to upload data in CSV/TXT formats, connect to various SQL databases, and select from curated models, including free options. - Offline Functionality: VerbaGPT offers an experimental offline mode, enabling users to perform data analysis without an internet connection. - Error Recovery and Analysis: Features like the 'retry' button help recover from code execution errors, while the 'analyze' button provides commentary on code and results. - Model Training and Management: Users can train models with successful question-SQL pairs, flag unsuccessful generations, and toggle between different LLMs such as OpenRouter and OpenAI. Primary Value and User Solutions: VerbaGPT addresses the challenge many organizations face in becoming data-driven by bridging the gap between data accessibility and technical expertise. It empowers non-technical users to extract meaningful insights from their data without requiring coding skills, thereby democratizing data analysis. For technical users, VerbaGPT enhances productivity by streamlining the data querying process. By prioritizing data privacy and offering a user-friendly interface, VerbaGPT ensures that users can confidently and efficiently interact with their data to inform decision-making and drive innovation.

Who Is the Company Behind VerbaGPT?

  • Seller: VerbaGPT
  • Year Founded: 2023
  • HQ Location: Parker, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Veritone aiWARE

The aiWARE platform ingests structured and unstructured data from nearly any source, leveraging hundreds of AI engines over dozens of cognitive and generative categories to unlock insights, automate tasks, and orchestrate complex workflows. With an intelligent data lake, APIs, workflow tools, and industry-specific applications, aiWARE empowers developers and app users to transform audio, video, text, and other data into actionable intelligence—putting AI at the core of your enterprise enabling smarter decision-making, greater efficiency, and a foundation for continuous innovation.

Who Is the Company Behind Veritone aiWARE?

  • Seller: Veritone Inc.
  • Year Founded: 2014
  • HQ Location: Denver, US
  • Twitter: @veritoneinc
    4,508 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    409 employees on LinkedIn®
  • Ownership: NASDAQ: VERI

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Verteron

Verteron is an advanced AI-driven platform designed to revolutionize data analysis and decision-making processes for businesses across various industries. By leveraging cutting-edge machine learning algorithms and natural language processing, Verteron enables organizations to extract actionable insights from complex datasets, enhancing operational efficiency and strategic planning. Key features and functionality of Verteron include: - Automated Data Processing: Streamlines the ingestion, cleaning, and transformation of large datasets, reducing manual effort and minimizing errors. - Predictive Analytics: Utilizes sophisticated algorithms to forecast trends and outcomes, empowering businesses to make informed decisions. - Natural Language Processing (NLP): Allows users to interact with data using conversational language, making data analysis accessible to non-technical stakeholders. - Customizable Dashboards: Provides intuitive, user-friendly interfaces that can be tailored to display relevant metrics and visualizations. - Scalability: Adapts to the needs of both small enterprises and large corporations, handling varying data volumes with ease. The primary value of Verteron lies in its ability to democratize data analytics, enabling organizations to harness the power of AI without requiring extensive technical expertise. By automating complex processes and providing intuitive tools, Verteron helps businesses uncover hidden patterns, optimize operations, and drive innovation, ultimately leading to a competitive advantage in their respective markets.

Who Is the Company Behind Verteron?

VertexFind

VertexFind is an advanced data analytics platform designed to empower businesses with comprehensive insights and data-driven decision-making capabilities. By integrating cutting-edge technologies, VertexFind enables organizations to efficiently process, analyze, and visualize large datasets, transforming raw data into actionable intelligence. Key Features and Functionality: - Data Integration: Seamlessly connects with various data sources, including databases, cloud services, and APIs, ensuring a unified data repository. - Advanced Analytics: Utilizes machine learning algorithms and statistical models to uncover patterns, trends, and correlations within datasets. - Interactive Visualization: Offers customizable dashboards and interactive charts that facilitate intuitive data exploration and presentation. - Real-Time Processing: Provides real-time data processing capabilities, allowing for immediate insights and timely decision-making. - Scalability: Designed to handle datasets of varying sizes, from small-scale to enterprise-level data, ensuring consistent performance. Primary Value and Solutions: VertexFind addresses the challenge of managing and interpreting vast amounts of data by providing a robust platform that simplifies data analysis. It empowers users to make informed decisions, identify business opportunities, and optimize operations by delivering clear, actionable insights. By streamlining the data analytics process, VertexFind enhances productivity and drives business growth.

Who Is the Company Behind VertexFind?

Veryfi

Veryfi offers enterprise-grade APIs that transform unstructured documents into structured data, enabling businesses to automate processes and unlock valuable insights. By leveraging advanced AI and machine learning, Veryfi's platform processes documents with exceptional accuracy and speed, eliminating manual data entry and reducing human error. Key Features and Functionality: - Document Capture SDKs: Seamlessly integrate into mobile and desktop applications, allowing effortless document capture from any source. - Real-Time Data Extraction APIs: Instantly process documents, delivering structured JSON data regardless of geography, currency, or format. - Intelligent Data Services: Extend beyond extraction with solutions like fraud detection for payment processing and automated CRM integration through AI agents. - Pre-Trained AI Models: Ensure high accuracy from day one, reducing error rates and accelerating workflows. - Security and Compliance: SOC 2 Type II certified, ensuring data privacy and regulatory compliance. Primary Value and Solutions: Veryfi addresses the challenge of accessing valuable information locked within unstructured documents. By automating data extraction and processing, it enables organizations to: - Increase Efficiency: Accelerate workflows by eliminating manual data entry, allowing teams to focus on higher-value tasks. - Reduce Errors: Achieve high accuracy with pre-trained AI models, minimizing human errors in data processing. - Ensure Compliance: Maintain data privacy and meet regulatory standards with robust security measures. By transforming unstructured data into actionable insights, Veryfi empowers businesses to streamline operations, enhance decision-making, and gain a competitive edge.

Who Is the Company Behind Veryfi?

  • Seller: Veryfi
  • Year Founded: 2017
  • HQ Location: San Mateo, California
  • LinkedIn® Page: www.linkedin.com
    58 employees on LinkedIn®

Vetric

Vetric is a data solutions company dedicated to providing organizations with reliable APIs and fully managed data flows, enabling faster, cleaner, and more efficient public data collection. This empowers teams to stay ahead of threats by making informed decisions and protecting their platforms effectively. Key Features and Functionality: - Open Web API: Offers RESTful and intuitive APIs that allow users to design precise data flows, access live activity, and tap into over a decade of structured public data across all regions and languages. - Managed Data Flows: Provides customizable, no-code workflows for data discovery, filtering, enrichment, and delivery, enabling users to set up and control data pipelines without the need for complex coding. - Fully-Managed Infrastructure: Handles all aspects of data collection, including proxies, CAPTCHAs, and structural changes, ensuring stable and consistent data delivery without operational overhead. - Modular Design: Allows users to build tailored data flows by mixing and matching various components, ensuring flexibility to meet specific workflow or model requirements. Primary Value and Solutions Provided: Vetric addresses the challenges of accessing and utilizing public data, which is often difficult to obtain, use, and subject to constant change. By offering structured and stable data solutions, Vetric enables organizations to make better decisions, move faster, and protect their platforms effectively. Their services are designed to be invisible yet indispensable, acting as a trusted layer of infrastructure that ensures the continuity and efficiency of their clients' operations.

Who Is the Company Behind Vetric?

  • Seller: Vetric
  • Year Founded: 2022
  • HQ Location: Tel-Aviv, IL
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

VIALI AI

VIALI AI is an advanced artificial intelligence platform designed to enhance business operations through intelligent automation and data-driven insights. By leveraging cutting-edge machine learning algorithms, VIALI AI enables organizations to streamline processes, improve decision-making, and drive innovation across various industries. Key Features and Functionality: - Intelligent Automation: Automates repetitive tasks, reducing manual effort and increasing operational efficiency. - Data Analysis: Processes large datasets to uncover patterns and provide actionable insights. - Customizable Solutions: Offers tailored AI models to meet specific business needs and objectives. - Scalability: Adapts to businesses of all sizes, ensuring seamless integration and growth. - User-Friendly Interface: Provides an intuitive platform for easy navigation and management of AI tools. Primary Value and Problem Solved: VIALI AI addresses the challenge of managing complex business processes and data overload by offering a comprehensive AI solution that automates tasks and delivers insightful analytics. This empowers businesses to make informed decisions, optimize operations, and maintain a competitive edge in their respective markets.

Who Is the Company Behind VIALI AI?

Vidaya AI

Vidaya.ai is built for people who already generate plenty of health data through blood tests, DNA reports, and wearable devices, but have never had a single place to make sense of all of it together. The platform combines these sources automatically and uses AI to surface what's actually changed and what it means. It's less about generating new data and more about finally understanding the data you already have.

Who Is the Company Behind Vidaya AI?

Vidora Cortex

Vidora Cortex is a no-code machine learning platform designed to empower customer-facing teams to swiftly build, deploy, and monitor machine learning models, transforming raw customer data into actionable decisions. By automating complex processes such as data preprocessing, feature engineering, and model selection, Cortex enables organizations to harness the power of machine learning without the need for extensive technical expertise. This platform is trusted by leading global brands to drive business outcomes through intelligent decision-making. Key Features and Functionality: - Decision-Oriented Modeling: Beyond mere predictions, Cortex facilitates the generation of actionable decisions using techniques like uplift modeling and next-best-action strategies, enabling businesses to proactively address challenges such as customer churn. - Integration of Real-Time and Batch Data: Cortex seamlessly combines real-time engagement data with historical batch data, allowing for comprehensive machine learning applications that can target both anonymous and first-time users effectively. - Automated Machine Learning Pipelines: The platform offers advanced automation tools for feature engineering, data cleaning, and model training, accelerating the deployment of machine learning solutions and ensuring optimal performance. - User-Friendly Interface: Designed with a no-code approach, Cortex enables users across various departments to create and manage machine learning models without requiring specialized programming skills. Primary Value and Problem Solving: Vidora Cortex addresses the common barriers to machine learning adoption, such as the need for specialized knowledge and lengthy development cycles. By providing an intuitive, automated platform, it democratizes access to machine learning, allowing businesses to quickly implement data-driven strategies. This capability enhances customer engagement, optimizes marketing efforts, and drives revenue growth by enabling informed, timely decisions based on comprehensive data analysis.

Who Is the Company Behind Vidora Cortex?

  • Seller: Vidora
  • Year Founded: 2013
  • HQ Location: United States, US
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

VieCure

Who Is the Company Behind VieCure?

  • Seller: VieCure
  • Year Founded: 2015
  • HQ Location: Greenwood Village, US
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

ViewsML

Who Is the Company Behind ViewsML?

  • Seller: ViewsML
  • Year Founded: 2022
  • HQ Location: Vancouver, CA
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®
Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 22, 2026