Data science & ML platforms · KNIME AG

KNIME

Open-source visual workflow platform for data prep, machine learning, and analytics automation.

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KNIME Analytics Platform is a free, open-source desktop application for building visual data workflows that cover data blending, statistics, machine learning, and reporting, with optional Python, R, and SQL scripting nodes. It is extended by KNIME Hub (a cloud service for sharing and running workflows with paid credit-based execution) and KNIME Business Hub (a self-hosted or cloud enterprise deployment layer with permissions, scheduling, and governance). Because the core desktop platform is open source, KNIME is popular in academic and cost-sensitive settings, while the hosted and enterprise layers monetize collaboration, automation, and deployment at scale. This dual structure differentiates it from vendor-locked commercial ML platforms.

At a glance

Vendor KNIME AG
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud, Self-hosted
Open source Yes (GPL-3.0)
Best for Teams wanting a free, extensible visual workflow tool for data prep through machine learning.

Pricing

Analytics Platform is free and open source; KNIME Hub adds paid Pro/Team plans, and Business Hub is quote-based.

Plan Price Notes
Personal Free KNIME Hub online plan; basic AI assistant, limited storage
Pro From $19/month includes 120 workflow-runtime credits; additional usage billed per vCore minute
Team From $99/month adds collaboration; 3 team members included, additional members $49/month
Business Hub Contact sales self-hosted or cloud enterprise deployment with governance and SSO

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Visual, node-based workflow editor
  • Open-source desktop Analytics Platform
  • Built-in machine learning and statistics nodes
  • Python, R, and SQL scripting integration
  • KNIME Hub for workflow sharing and cloud execution
  • Business Hub for enterprise scheduling and governance
  • Large library of community extensions

Integrations

Profile last reviewed September 21, 2026

Alternatives

Altair RapidMiner Visual, drag-and-drop platform for data prep, machine learning, and enterprise AI, now part of Siemens. Alteryx Drag-and-drop data preparation and analytic automation platform that extends into predictive modeling. Dataiku Collaborative platform spanning data preparation and machine learning, used by both analysts and data scientists.

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Terms to know

Machine learning Building models that learn patterns from data to make predictions or decisions, rather than following hand-coded rules. Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. Exploratory data analysis An open-ended first pass through a dataset to understand its structure and spot patterns before formal analysis.

Related guides

How to choose a data science & ML platform The decisions that matter are who builds the models, how automated the modeling should be, and whether you want a cloud-native platform or a portable one.