Best Data Science and Machine Learning Platforms - Page 35

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

Total Products under this Category: 1,649

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
  • 1,649+ 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, Dataiku, and Hex.

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=dataiku&focus%5B%5D=hex-tech-hex)

Datatera

Datatera.ai is an innovative platform designed to enhance data communication and management for individuals and teams across various industries. By offering a suite of tools and integrations, Datatera.ai simplifies the process of data collection, analysis, and sharing, enabling users to achieve their goals more efficiently. The platform emphasizes ethical data usage, transparency, and user control, ensuring compliance with regulations such as CCPA, CDPA, and GDPR. Key Features and Functionality: - Enterprise Integrations: Datatera.ai provides 474 integrations, allowing users to upload data to various applications and databases seamlessly, eliminating the need to navigate complex API documentation or troubleshoot errors. - Pre-Built Templates: The platform offers a range of customizable templates for common data tasks, such as scraping investor lists, extracting company profiles from LinkedIn, and gathering detailed product descriptions from online stores. - AI Data Analyst Agent: Datatera.ai is developing an AI-powered data analyst agent available 24/7, designed to assist users in analyzing and interpreting data more effectively. Primary Value and User Solutions: Datatera.ai addresses the challenges of data management by providing a user-friendly platform that integrates seamlessly with existing tools and workflows. By focusing on ethical data usage and user control, it ensures that data handling complies with relevant regulations, giving users peace of mind. The platform's extensive integrations and templates streamline data-related tasks, reducing the time and effort required for data collection and analysis. Additionally, the forthcoming AI data analyst agent promises to further enhance users' ability to derive insights from their data, ultimately supporting better decision-making and goal achievement.

Who Is the Company Behind Datatera?

DataToInsights

DataToInsights is an advanced analytics platform designed to transform raw data into actionable insights, empowering businesses to make informed decisions. By leveraging cutting-edge machine learning algorithms and intuitive data visualization tools, it simplifies complex data analysis processes, enabling users to uncover patterns, trends, and correlations within their datasets. Key Features and Functionality: - Data Integration: Seamlessly connects with various data sources, including databases, cloud storage, and APIs, ensuring comprehensive data aggregation. - Advanced Analytics: Utilizes machine learning models to perform predictive analytics, anomaly detection, and trend analysis, providing deeper understanding of data. - Interactive Dashboards: Offers customizable dashboards with interactive charts and graphs, allowing users to visualize data in real-time and gain immediate insights. - Automated Reporting: Generates detailed reports automatically, reducing manual effort and ensuring timely dissemination of information. - Collaboration Tools: Facilitates team collaboration by enabling sharing of insights, annotations, and reports within the platform. Primary Value and User Solutions: DataToInsights addresses the challenge of data overload by providing a streamlined platform that converts complex datasets into clear, actionable insights. It empowers organizations to make data-driven decisions, optimize operations, and identify new opportunities. By automating data analysis and reporting, it reduces the time and resources required for manual data processing, allowing teams to focus on strategic initiatives.

Who Is the Company Behind DataToInsights?

Datawizz.ai

Datawizz.ai is a software development firm offering a cutting edge GenAI data revolution platform.

Who Is the Company Behind Datawizz.ai?

Datayaki

Datayaki is a data analytics platform designed to empower businesses by transforming raw data into actionable insights. It offers a suite of tools that facilitate data integration, visualization, and analysis, enabling organizations to make informed decisions based on comprehensive data assessments. Key Features and Functionality: - Data Integration: Seamlessly combines data from multiple sources, ensuring a unified view for analysis. - Advanced Analytics: Utilizes machine learning algorithms to uncover patterns and trends within datasets. - Interactive Dashboards: Provides customizable dashboards for real-time data visualization and reporting. - Collaboration Tools: Facilitates team collaboration through shared reports and insights. - Scalability: Adapts to varying data volumes, catering to both small businesses and large enterprises. Primary Value and User Solutions: Datayaki addresses the challenge of data fragmentation by offering a centralized platform for data analysis. It enables users to derive meaningful insights from complex datasets, enhancing decision-making processes. By streamlining data workflows and providing intuitive visualization tools, Datayaki helps organizations improve operational efficiency and gain a competitive edge in their respective industries.

Who Is the Company Behind Datayaki?

Dateno

Dateno is a comprehensive data analysis platform designed to empower businesses and individuals by transforming raw data into actionable insights. It offers a suite of tools that facilitate data visualization, statistical analysis, and predictive modeling, enabling users to make informed decisions based on their data. Key Features and Functionality: - Data Visualization: Create interactive charts and graphs to represent complex datasets clearly. - Statistical Analysis: Perform in-depth statistical tests to uncover patterns and correlations. - Predictive Modeling: Utilize machine learning algorithms to forecast trends and outcomes. - Data Integration: Seamlessly import data from various sources for comprehensive analysis. - User-Friendly Interface: Navigate through features with an intuitive and accessible design. Primary Value and Solutions Provided: Dateno addresses the challenge of interpreting vast amounts of data by offering tools that simplify analysis and visualization. It enables users to identify trends, make data-driven decisions, and predict future outcomes, thereby enhancing operational efficiency and strategic planning. By providing an accessible platform for complex data analysis, Dateno empowers users to unlock the full potential of their data.

Who Is the Company Behind Dateno?

Datlo

Datlo is a cloud-based location intelligence platform designed to simplify market analysis, customer discovery, and expansion planning for businesses. By integrating diverse datasets—including company registrations, economic indicators, demographic profiles, and real estate information—Datlo provides an intuitive interface that transforms complex geographic and commercial data into actionable insights. This empowers B2B sales and marketing teams to identify new customers, optimize territory management, and plan strategic expansions efficiently. Key Features and Functionality: - Map Builder: Enables the creation and customization of maps, analysis of geolocated data, and effective territory management. - Lead Recommendation AI: Utilizes artificial intelligence to recommend high-potential leads based on a company's existing customer portfolio. - Expansion AI: Suggests optimal new locations for business expansion by analyzing the performance of current units. - Audience Segmentation: Enhances paid media campaigns by providing efficient audience segmentation, leading to lower conversion costs and improved targeting. Primary Value and Solutions Provided: Datlo addresses the challenges businesses face in market analysis and expansion by offering a comprehensive suite of tools that leverage geolocated data. The platform enables companies to: - Identify Market Opportunities: By analyzing market coverage and potential, businesses can discover new points of sale and strategic distributors. - Optimize Distribution Strategies: Datlo's insights allow for the refinement of distribution logistics, ensuring products reach the right markets efficiently. - Enhance Go-To-Market Operations: With data-driven strategies, companies can plan expansions and marketing campaigns with greater precision, reducing risks and increasing success rates. By transforming complex data into clear, actionable insights, Datlo empowers businesses to make informed decisions, streamline operations, and drive growth.

Who Is the Company Behind Datlo?

  • Seller: Datlo
  • Year Founded: 2019
  • HQ Location: Maringá, BR
  • LinkedIn® Page: www.linkedin.com
    9,253 employees on LinkedIn®

DatologyAI

AI models are what they eat. Optimize training efficiency, maximize performance, and reduce compute costs with our expert curation.

Who Is the Company Behind DatologyAI?

Datonaut

Datonaut is a comprehensive data management platform designed to streamline the collection, analysis, and visualization of complex datasets. It empowers organizations to make data-driven decisions by providing intuitive tools for data integration, transformation, and reporting. With Datonaut, users can efficiently manage their data pipelines, ensuring accuracy and consistency across various data sources. Key Features and Functionality: - Data Integration: Seamlessly connect and consolidate data from multiple sources, including databases, cloud services, and APIs. - Data Transformation: Utilize a suite of tools to clean, normalize, and enrich data, preparing it for analysis. - Visualization: Create interactive dashboards and reports to gain insights and share findings with stakeholders. - Collaboration: Facilitate teamwork with shared workspaces and version control for data projects. - Security: Ensure data privacy and compliance with robust security measures and access controls. Primary Value and Solutions: Datonaut addresses the challenges of managing disparate data sources by providing a unified platform that simplifies data workflows. It enables users to transform raw data into actionable insights, reducing the time and effort required for data preparation and analysis. By enhancing data quality and accessibility, Datonaut helps organizations improve operational efficiency, make informed decisions, and drive business growth.

Who Is the Company Behind Datonaut?

Datvizai

DatViz AI is an advanced data visualization and analytics platform designed to transform complex datasets into clear, interactive visual representations. By leveraging cutting-edge artificial intelligence, it enables users to uncover insights, identify trends, and make data-driven decisions with ease. Key Features and Functionality: - Interactive Visualizations: Create dynamic charts, graphs, and dashboards that allow for real-time data exploration. - AI-Powered Analytics: Utilize machine learning algorithms to detect patterns and anomalies within datasets. - Customizable Templates: Access a variety of pre-designed templates tailored for different industries and use cases. - Data Integration: Seamlessly connect with multiple data sources, including databases, cloud services, and APIs. - Collaboration Tools: Share visualizations and reports with team members, facilitating collaborative analysis. Primary Value and User Solutions: DatViz AI addresses the challenge of interpreting large and complex datasets by providing intuitive visualization tools that simplify data analysis. It empowers businesses and individuals to make informed decisions by presenting data in an accessible and actionable format. By automating the analytics process, it reduces the time and expertise required to extract meaningful insights, thereby enhancing productivity and strategic planning.

Who Is the Company Behind Datvizai?

DDAI

Data Discourse AI (DDAI) is an AI-powered analytics platform designed to unify and operationalize data from core business systems such as HubSpot, QuickBooks, and Stripe. By integrating these disparate sources, DDAI provides RevOps teams with real-time access to clean, trusted operational data without the need for building complex pipelines or managing infrastructure. This enables businesses to move beyond fragmented reporting and make strategic decisions based on a comprehensive, AI-ready data foundation. Key Features and Functionality: - Cross-System Insights: DDAI eliminates data silos by consolidating information across CRM, finance, and revenue systems, offering a unified view of business performance. - Affordable Modern Data Stack: The platform delivers enterprise-grade data infrastructure traditionally reserved for larger businesses, making advanced analytics accessible to mid-sized companies. - AI-Ready Business Data: Users can interact with their data through natural language queries, facilitating intuitive analysis without technical expertise. - Easy to Use: DDAI's interface supports simple, conversational language, allowing users to ask questions and receive instant, reliable answers. - Predictive Analytics: The platform anticipates future outcomes, enabling proactive decision-making. - Data Visualization: Users can create visual representations of their data, enhancing comprehension and insight. - Empowers Management Teams: DDAI equips leaders with the tools to make informed decisions based on comprehensive data analysis. Primary Value and Problem Solved: DDAI addresses the challenge of fragmented data across multiple SaaS platforms, which often leads to inefficient reporting and decision-making bottlenecks. By unifying data from systems like HubSpot, QuickBooks, and Stripe, DDAI provides a single source of truth, enabling businesses to: - Optimize resource allocation by revealing client profitability hidden within disparate data sources. - Access critical metrics such as Annual Recurring Revenue (ARR), Average Revenue Per User (ARPU), churn rates, and Customer Lifetime Value (CLTV) without manual data stitching. - Connect marketing campaigns to actual sales data and financial margins, offering clear insights into campaign ROI and overall profitability. By delivering an enterprise-grade data infrastructure without the need for extensive engineering resources, DDAI empowers RevOps teams to focus on strategic initiatives rather than data management, ultimately driving growth and efficiency.

Who Is the Company Behind DDAI?

  • Seller: DDAI
  • Year Founded: 2025
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Dealflow Scout

Dealflow Scout is an AI-powered platform designed to streamline the deal sourcing process for investors and venture capitalists. By leveraging advanced machine learning algorithms, it automates the identification and evaluation of potential investment opportunities, enabling users to make informed decisions efficiently. Key Features and Functionality: - Automated Deal Sourcing: Utilizes AI to scan and analyze vast amounts of data, identifying promising investment opportunities that align with user-defined criteria. - Customizable Filters: Allows users to set specific parameters and preferences, ensuring that the deals presented are relevant and tailored to their investment strategies. - Real-Time Alerts: Provides timely notifications about new opportunities, market trends, and relevant industry developments. - Comprehensive Analytics: Offers in-depth insights and analytics on potential deals, including financial metrics, market positioning, and competitive analysis. - Collaborative Tools: Facilitates seamless collaboration among team members with shared workspaces, notes, and communication features. Primary Value and Problem Solved: Dealflow Scout addresses the challenge of efficiently managing and evaluating a high volume of potential investments. By automating the deal sourcing process, it reduces the time and effort required to identify viable opportunities, minimizes the risk of overlooking promising deals, and enhances the overall decision-making process for investors. This leads to a more streamlined workflow, improved investment outcomes, and a competitive edge in the fast-paced investment landscape.

Who Is the Company Behind Dealflow Scout?

DealStack.ai

DealStack.ai is an advanced platform designed to streamline and enhance the deal-making process for businesses. By integrating cutting-edge artificial intelligence and machine learning technologies, it offers a comprehensive suite of tools that facilitate efficient deal management, data analysis, and decision-making. The platform is tailored to meet the needs of professionals involved in mergers and acquisitions, private equity, venture capital, and corporate development, providing them with the insights and automation necessary to drive successful outcomes. Key Features and Functionality: - Automated Deal Sourcing: Utilizes AI algorithms to identify and recommend potential deals that align with user-defined criteria, saving time and expanding the pipeline of opportunities. - Due Diligence Automation: Streamlines the due diligence process by analyzing vast amounts of data to highlight risks, opportunities, and key insights, enabling faster and more informed decision-making. - Collaborative Workspace: Offers a centralized platform where deal teams can collaborate in real-time, share documents, and track progress, ensuring seamless communication and coordination. - Data Analytics and Reporting: Provides robust analytics tools that generate detailed reports and visualizations, offering a clear understanding of deal performance and market trends. - Integration Capabilities: Easily integrates with existing CRM systems, data providers, and other enterprise tools, ensuring a smooth workflow without the need for extensive system overhauls. Primary Value and User Solutions: DealStack.ai addresses the complexities and inefficiencies inherent in traditional deal-making processes by automating routine tasks, providing data-driven insights, and facilitating collaboration among stakeholders. This leads to faster deal closures, reduced operational costs, and improved decision quality. By leveraging AI and machine learning, the platform empowers users to stay ahead in a competitive market, ensuring they can identify and capitalize on the best opportunities available.

Who Is the Company Behind DealStack.ai?

Deargen

Who Is the Company Behind Deargen?

  • Seller: Deargen
  • Year Founded: 2016
  • HQ Location: Daejeon, KR
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Deasie

Who Is the Company Behind Deasie?

  • Seller: Deasie
  • Year Founded: 2023
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®
Bijou Barry
BB
Researched and written by Bijou Barry
Updated April 22, 2026