# Top Free Data Science and Machine Learning Platforms - Page 6

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

**Total Products under this Category:** 1,043

### Category Stats (Aug 2026)

- **Average Rating:** 4.46/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** FalkorDB (+5.88%) - Among all products in this category, FalkorDB recorded the largest rating increase compared to last month

_Last updated: August 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
- 14,200+ Authentic Reviews
- 1,043+ 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](https://www.g2.com/categories/data-science-and-machine-learning-platforms/grids.png?focus%5B%5D=10470&focus%5B%5D=21469&focus%5B%5D=1327283&focus%5B%5D=67045&focus%5B%5D=10938&focus%5B%5D=162504&focus%5B%5D=1308796&focus%5B%5D=142374)

Highlighted products: Databricks, Gemini Enterprise Agent Platform, SAS Viya, Google Cloud AutoML, Snowflake, Hex, IBM watsonx.data, and Deepnote.

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=hex-tech-hex&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=deepnote)

**Sponsored**

### KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=692&secure%5Bchosen_at%5D=2026-08-06T12%3A09%3A46Z&secure%5Bdisplayable_resource_id%5D=692&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=692&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=16291&secure%5Bresource_id%5D=692&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-science-and-machine-learning-platforms%2Ffree%3Fcategory_id%3Ddata-science-and-machine-learning-platforms%26locale%3Dit%26page%3D6&secure%5Btoken%5D=fc8c0851b3d3d7b1c79eb852d1b7c20f706af273a5717bc4feba1aed1e1957ff&secure%5Burl%5D=https%3A%2F%2Fwww.knime.com%2Flp%2Fdemo%3Futm_medium%3D3rd-party%26utm_source%3DG2%26utm_campaign%3Dbrand%26utm_term%3Dpaid%26utm_content%3D&secure%5Burl_type%5D=custom_url)

### [Ocular AI](https://www.g2.com/products/ocular-ai/reviews)

Ocular AI is the Multimodal AI Data Lakehouse. With Ocular, AI teams can seamlessly ingest, catalog/curate, search, annotate, and train on video, image, and audio data — all on one AI-native platform. Built for speed, scale, and accuracy, Ocular transforms petabytes of raw, unstructured data into high-quality datasets and production-grade custom models, enabling the next generation of multimodal AI. Whether you're building computer vision systems, robotics perception models, or domain-specific generative AI, Ocular provides everything you need to go from data to model — fast. Ocular Foundry — The Multimodal Lakehouse for AI Foundry is a multimodal data lakehouse purpose-built for unstructured data workflows. It combines powerful infrastructure, intuitive tooling, and AI-native workflows into one cohesive platform. Ingest, Catalog, & Curate — Bring all your unstructured data into a single, unified platform. Foundry supports direct integrations with cloud storage, SDKs, APIs, and more to centralize enterprise-scale video, image, and audio datasets. Visualize and curate your data using embedding-powered interfaces for smarter, label-prioritized workflows. Search & Understand — Use natural language to search across petabytes of video and image data. Ask complex queries like “Show forklifts near a dock” or “Find red cars at night,” and Foundry will pinpoint exact frames and timestamps. The platform understands scenes, detects actions, reads embedded text, and locates key events across modalities. Annotate & Label with Agents & Humans— Supercharge annotation workflows with AI Data Agents, fine-tuned models, and human-in-the-loop collaboration. Use advanced tools for bounding boxes, segmentation, audio labeling, and frame-level tagging — all with project-specific ontologies and automated QA checks. Train & Evaluate — Fine-tune and evaluate custom models directly inside Foundry with integrated GPU-powered training. Track data lineage, monitor label coverage, and assess model readiness in real time with rich analytics and visual dashboards — no context switching or pipeline fragmentation. Foundry is the infrastructure layer built for teams solving hard AI problems with real-world, messy data. Bolt — Expert-in-the-Loop Annotation at Scale Bolt is Ocular’s high-precision annotation service designed for enterprises that need fast, accurate, domain-specific labeling. Unlike crowdwork platforms, Bolt is powered by trained professionals — engineers, medical experts, and QA specialists — to ensure every label meets your model’s unique requirements. With Bolt, you get: - Scalable annotations across video, image, and audio data - Expert-in-the-loop workflows for critical edge cases - Tight integration with Foundry for seamless project execution - Speed and accuracy without sacrificing context or quality Trusted by forward-thinking AI teams tackling the hardest multimodal AI problems. Ocular AI is SOC 2 compliant and designed to meet the security and performance demands of enterprise AI. Confidently build multimodal, production-ready models — all on one Multimodal Lakehouse.

#### Who Is the Company Behind Ocular AI?

- **Seller:** [Ocular AI](https://www.g2.com/sellers/ocular-ai)
- **Year Founded:** 2024
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=16a4df63e1f74a12b02610b65e9d7cf6382f1640817bcbad840424711c0f2a42&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fuse-ocular&secure%5Burl_type%5D=linkedin_company_website)  
6 employees on LinkedIn®

### [Parsewise](https://www.g2.com/products/parsewise/reviews)

Parsewise is a document AI and data extraction software solution that helps teams process complex document packages into structured, traceable outputs for review, automation, and application workflows. The product is designed for organizations that work with large volumes of unstructured or semi-structured documents, especially where information must be compared, resolved, and validated across multiple files. Parsewise can be used through a web-based platform by operations teams, or through an API by developers who want to embed multi-document processing into their own products and internal systems. Parsewise is used in workflows such as underwriting, claims review, compliance checks, audit preparation, due diligence, loan and mortgage processing, and other document-heavy business processes. Users provide documents and define the desired output structure, and Parsewise processes the content to return structured values, source evidence, and indicators where information may be inconsistent or require human review. Key capabilities include: \* Multi-document processing that links related information across files, pages, tables, and document types. \* Structured data extraction based on a user-defined schema or workflow objective. \* Contradiction detection to identify cases where different documents contain conflicting values or statements. \* Source traceability that shows where extracted and resolved values came from in the original documents. \* Human validation workflows and embeddable review views for teams that need to check results before using them downstream. Parsewise is intended for both technical and operational users. Developers can use the API to integrate document processing into existing applications, while business and operations teams can use the platform to review outputs, manage exceptions, and validate source evidence. The software is relevant for companies building document-based products as well as organizations managing internal document review processes where accuracy, traceability, and repeatability are important.

#### Who Is the Company Behind Parsewise?

- **Seller:** [Parsewise](https://www.g2.com/sellers/parsewise)
- **Year Founded:** 2024
- **HQ Location:** London, GB
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b14b3d78592240e5597454847c20778723989363880f3fbdb03367e27b99e53f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fparsewise&secure%5Burl_type%5D=linkedin_company_website)  
919 employees on LinkedIn®

### [SimplAI Enterprise AI Platform](https://www.g2.com/products/simplai-enterprise-ai-platform/reviews)

SimplAI: Empowering Enterprises in an AI-Native World The Simplest and Fastest Way to Build Agentic AI Applications SimplAI is an enterprise-grade platform designed to help organizations transform into AI-native enterprises. Our platform enables you to build, deploy, and monitor intelligent AI agents and automate complex workflows—securely, scalably, and reliably. Key Features and Capabilities 1. SimplAI Studio: Experiment, build, deploy, and monitor agentic AI applications effortlessly using an intuitive interface tailored for technology and product teams. 2. Intelligent AI Agents: Develop conversational AI, co-pilots, and multi-agent systems with built-in guardrails, real-time streaming, and citations for trust and reliability. 3. Agentic Automations: Automate workflows and processes with intelligent decision-making, leveraging AI chaining for multi-step operations. 4. Data & Knowledge Integration: Ground AI in your enterprise data for enhanced accuracy, trustworthiness, and relevance using 300+ pre-built connectors. 5. Deployment Flexibility: Seamlessly integrate AI applications into enterprise systems with options for cloud, private cloud, or on-premise deployments. 6. Observability: Monitor performance with granular tracing, evaluation metrics, and robust debugging tools for ongoing optimization. Why SimplAI? Speed and Simplicity: Simplify the journey from idea to production with an intuitive no-code/low-code interface. Quickly move from concept to production in a month. Security and Compliance: Enterprise-grade security with SOC 2, ISO 27001 compliance, and advanced access controls. Scalability: Built for handling enterprise-grade workloads with horizontal scaling, low-latency performance, and efficient caching. Trust and Accuracy: Built-in guardrails, grounding mechanisms, and application-level version control ensure reliability and accuracy. Cloud Agnostic: We support all hyperscalers—Azure, AWS, GCP, etc.—as well as on-premise deployments. Tailored Solutions for Industry-Specific Needs SimplAI uniquely addresses the distinct challenges of industries like financial services, insurance, healthcare, legal, etc. By integrating deeply into knowledge-intensive workflows, our AI employees and agentic automations drive productivity, accuracy, and measurable business outcomes. SimplAI’s industry-focused approach ensures solutions that are practical, impactful, and designed to meet the demands of enterprise-grade operations.

#### Who Is the Company Behind SimplAI Enterprise AI Platform?

- **Seller:** [SimplAI](https://www.g2.com/sellers/simplai)
- **Year Founded:** 2023
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6f5af049ccd695ed4de001842ab808c6eb937cad2a53593b801136dbab50526b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsimplai-ai&secure%5Burl_type%5D=linkedin_company_website)  
30 employees on LinkedIn®

### [Spotfire Enterprise](https://www.g2.com/products/spotfire-spotfire-enterprise/reviews)

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Spotfire® Data Science is built to help organizations solve complex, mission-critical challenges with scalable, visual data science. It combines the power of machine learning, statistical modeling, and process optimization in an intuitive, collaborative environment, enabling both data scientists and domain experts to deliver insights with speed, precision, and confidence. Designed with industry in mind, it equips teams with specialized data functions, visualizations, and mods tailored to the needs of energy, manufacturing, and other data-intensive sectors. Building on the capabilities of Spotfire Analytics, Spotfire Data Science takes analysis a step further by offering advanced tools for data understanding and preparation. Users can profile data, detect outliers, handle missing values, analyze correlations, and preprocess time series data to uncover meaningful patterns and insights. Predictive modeling is enhanced with built-in machine learning and statistical algorithms, complete with explainability features and dimensionality reduction techniques to better interpret complex results. Spotfire Data Science also provides a comprehensive suite of process improvement tools, ranging from design of experiments to reliability analysis and statistical process control, enabling organizations to continuously optimize operations and enhance product quality. Deep integrations with R, Python, and Jupyter notebooks provide experts with the flexibility to extend and customize their analyses. At the same time, native connectivity to industry-specific data sources ensures seamless integration with existing workflows. Whether the goal is to predict outcomes, optimize processes, or solve industry-specific problems, Spotfire Data Science empowers teams to turn raw data into strategic insight. Uniting advanced analytics with visual exploration enables organizations to address their toughest challenges and achieve measurable business impact. Scale from advanced visual analytics to industrial analytics - combining Spotfire’s interactive experience with domain-specific statistical depth. Spotfire Data Science extends Spotfire Analytics with domain-specific visualizations, workflows, and algorithms built for industrial analytics in energy, manufacturing, and life science. Profile and visually clean data, detect outliers, handle missing values, and preprocess time series. Then apply predictive models, machine learning, and statistical process control—all in an intuitive, collaborative, visual environment. Use built-in algorithms and use process optimization tools to accelerate discovery. From quality improvement to predictive maintenance, Spotfire Data Science helps engineers, scientists, and domain experts turn complex data into confident, measurable outcomes. Best for: Engineers, scientists, domain-experts, and industrial analytics teams tackling mission-critical challenges.

#### Who Is the Company Behind Spotfire Enterprise?

- **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7dcd1e227e53d0c4eb587e0a0cf8209fa1226ac43f34c44e1a9a242dcc4e5672&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fspotfire%2F&secure%5Burl_type%5D=linkedin_company_website)  
103 employees on LinkedIn®

### [thaink² Analytics](https://www.g2.com/products/thaink-analytics/reviews)

thaink² is your secure, collaborative, and agile Data & AI platform. It is designed for both business and technical professionals, helping you efficiently manage multiple projects at once while significantly speeding up production deployment - by up to 20 times. Key Benefits: • Seamless Data Management – Streamline data ingestion and pre-processing for a smoother workflow • Automation at Its Best – Automatically generate reports and dashboards, reducing manual effort. • AI & ML Acceleration – Rapidly prototype, train, and deploy AI/ML models within a unified environment. • Powerful ETL & ML Engine – Operates in master mode with MLOps and ML factory capabilities. • Advanced Data Visualization – Automate BI tools and transform scattered data into actionable insights. By bringing everything together in one integrated platform, thaink² helps businesses make smarter, data-driven decisions with ease. Ready to unlock the full potential of your data?

#### Who Is the Company Behind thaink² Analytics?

- **Seller:** [thaink²](https://www.g2.com/sellers/thaink)
- **Year Founded:** 2023
- **HQ Location:** Metz, FR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=625374c695783cdd170c9481bce707f7b4d0ccde009c558d3900c408b1247ba1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fthaink2%2F&secure%5Burl_type%5D=linkedin_company_website)  
5 employees on LinkedIn®

### [Xyzt](https://www.g2.com/products/xyzt/reviews)

xyzt.ai is a high-performance, no-code location intelligence platform designed for scale. The enterprise-grade SaaS platform enables organizations to instantly visualize and analyze billions of spatio-temporal IoT and tracking records in seconds, without requiring custom data engineering or data science teams. Purpose-built for large-scale geospatial, movement, and time-series data, xyzt.ai natively supports all major data formats, including raw GPS traces, map-matched trip paths, and aggregated traffic volumes. With rapid cloud deployment completed in less than a day, users can seamlessly integrate and cross-analyze heterogeneous datasets from connected vehicles, assets, infrastructure, and environmental sensors.xyzt.ai is trusted globally across key industries to turn big data into real-time situational awareness: - Maritime & Ports: Analyze historical and live AIS data to optimize vessel traffic, improve maritime safety, and track port efficiency. - Smart Cities & Urban Mobility: Visualize floating vehicle data (FVD), floating cellular data, and traffic flows to eliminate congestion and support infrastructure planning. - Logistics & Asset Tracking: Monitor supply chain performance, evaluate asset utilization, and improve operational safety. - Sustainability: Drive green initiatives through emissions tracking, resource optimization, and environmental impact evaluation. What differentiates xyzt.ai is its unique blend of massive scale, total data privacy by design, and extreme usability. Domain experts can interactively explore billions of records, detect AI-driven anomalies, and unlock hidden trends instantly through a seamless, self-service visual analytics experience.

#### Who Is the Company Behind Xyzt?

- **Seller:** [xyzt.ai](https://www.g2.com/sellers/xyzt-ai)
- **Year Founded:** 2020
- **HQ Location:** Leuven, BE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d9a94775af2f917cc9b507761dffd0945fee846d3b2cc7488239c93cccea4a02&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fxyzt-ai%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

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