About
The KNIME Analytics Platform is a free and open-source tool for data science. It offers 300+ connectors to data sources and integrates with popular machine learning libraries. The platform supports accessing, blending, transforming, analyzing, visualizing, exploring, saving, and reusing data. Users can access data from various sources, blend data of any size and type, and perform operations on their device, in-database, or in distributed big data environments. It allows exploring data with interactive charts, automating repetitive tasks, and creating visualizations with a genAI assistant. Users can choose from a complete range of analytic techniques, including LLMs. The platform supports bundling workflow segments as components for reuse, integrating scripting in Python, R, and Javascript, and auto-creating scripts with prompts to a genAI assistant. It also allows extending capabilities by adding custom functionality through coding. The vendor states that users can join an open community of over 100,000+ users and learn and share solutions on the KNIME Community Hub, which contains 14,000+ data science solutions. A genAI assistant can also help auto-generate analysis and guide users.
Read from knime.com on 2026-08-26. We describe what the vendor states; we do not audit it.
Enterprise Readiness
from cataloged dataNo compliance certifications listed
Flexible deployment: On-Premise, Hybrid, Self-Hosted
8 documented integrations
6 documented use cases
Founded 2004
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How KNIME Analytics compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| KNIME Analytics | 66 · Strong | Free | On-Premise, Hybrid, Self-Hosted | — | 8 |
| Celonis Process Intelligence | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| Dataiku DSS | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
| DataBricks AutoML | 68 · Strong | Enterprise | Cloud, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is KNIME Analytics used for?
KNIME Analytics is kNIME Analytics Platform is a free, open-source, and extensible tool for data science with optional coding. It is commonly used for customer churn prediction, fraud detection, supply chain optimization, and predictive maintenance.
Is KNIME Analytics free, and how is it priced?
KNIME Analytics is free to use.
How can KNIME Analytics be deployed?
KNIME Analytics supports On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does KNIME Analytics integrate with?
KNIME Analytics documents 8 integrations, including Apache Spark, Hadoop, Salesforce, SAP, Microsoft Azure, and AWS.
When was KNIME Analytics founded?
KNIME Analytics was founded in 2004.
Is KNIME Analytics enterprise-ready?
Based on cataloged data, KNIME Analytics has an Enterprise Readiness score of 66/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
Procurement
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