Last updated 08-09-2026
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KNIME
KNIME lets you build visual data workflows by connecting nodes that read, transform, model, and visualize information without writing code for every step. Drag nodes for ETL, analytics, machine learning, and generative AI into a canvas, wire them left to right, and run the pipeline all at once or step by step. The open-source Analytics Platform runs locally on your desktop and connects to more than 300 data sources, from Snowflake and Databricks to OpenAI and Claude.
Compared with notebook-only tools that bury logic in scripts, KNIME keeps the full pipeline visible and rerunnable. Business users can start with spreadsheet-style tasks while data scientists drop in Python, R, or Java through built-in integrations on the same canvas. Paid KNIME Hub tiers add cloud execution, team collaboration, workflow deployment as data apps, and governance controls that the free desktop edition does not include.
KNIME serves manufacturing, life sciences, finance, retail, and public sector teams at companies like AMD, ASML, Bosch, Citi, and P&G. Citizen data scientists automate repetitive spreadsheet work, analysts prototype churn models, and MLOps teams deploy monitored workflows on premises or in the cloud. The K-AI assistant helps draft workflows, with 20 free interactions per month on a Personal account and 500 on the Pro plan.
Free Analytics Platform connects to 300+ data sources and runs locally on your desktop
Visual node-based workflows cover ETL, statistics, ML, geospatial, and generative AI tasks
Pro plan at $19 per month includes 120 workflow runtime credits and 500 K-AI interactions
Team plan at $99 per month supports 3 collaborators in private Hub spaces
Integrates OpenAI, Claude, Gemini, Hugging Face, Snowflake, Databricks, and PostgreSQL natively
Deploy workflows as data apps and services with scheduling and monitoring on Business Hub
The core Analytics Platform is free and open source, which removes licensing friction for individual analysts.
Visual workflows make complex pipelines inspectable and shareable across skill levels on one canvas.
300+ connectors and native LLM nodes reduce glue code between databases, cloud warehouses, and AI models.
Heavy cloud execution and team governance require paid Hub plans starting at $19 per month.
Workflow runtime beyond included credits costs $0.025 per vCore minute on Pro, which adds up on long jobs.
Business Hub pricing is quote-only, so enterprise buyers cannot compare costs without contacting sales.
Is KNIME free to use?
Yes. KNIME Analytics Platform is free and open source for personal use on your desktop. Paid KNIME Hub plans add cloud execution, collaboration, and deployment starting at $19 per month for Pro.
What can you do with KNIME workflows?
KNIME workflows handle ETL, data blending, statistical analysis, machine learning, geospatial analysis, image processing, and generative AI. You connect nodes on a canvas and run the pipeline end to end without coding every step.
How much does KNIME Pro cost?
KNIME Pro starts at $19 per month. It includes 120 workflow runtime credits, workflow automation, data app deployment, secure secrets storage, and 500 K-AI assistant interactions per month.
Does KNIME support Python and R?
Yes. KNIME integrates Python, R, and Java through dedicated nodes so you can mix visual workflows with scripted steps. Popular ML and LLM libraries are accessible through the open extension ecosystem.
What is KNIME Hub?
KNIME Hub is the commercial cloud layer for collaborating on workflows, deploying data apps, and scaling execution. Community Hub is free for browsing templates, while Team and Business Hub add private spaces and enterprise governance.
Which data sources does KNIME connect to?
KNIME offers 300+ connectors including Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, Salesforce, SAP, S3, SharePoint, and AI models from OpenAI, Anthropic, Google Gemini, and Hugging Face.