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Knime vs Databricks

An independent, side-by-side comparison of two Data & Analytics providers — scores, pricing, company-size fit, and strengths — to help you pick the right one.

Knime vs Databricks at a glance

Editorial sub-scores are RankedVendors estimates.

KnimeDatabricks
Overall score62/10090/100
TierStandardElite
Capability (editorial)6189
Ease of use (editorial)6089
Value (editorial)6092
Best forSmall business, Mid-market, EnterpriseSmall business, Mid-market, Enterprise
Pricing modelQuote-basedQuote-based
Headquarters
Founded

Verdict

Databricks is the higher-ranked of the two on RankedVendors (90/100 vs 62/100), but both are credible Data & Analytics options. Knime fits small business, mid-market, enterprise; Databricks fits small business, mid-market, enterprise. Match the shortlist to your size and must-have features, and trial before committing.

Where each one stands out

Knime

Knime is open-source data analytics and ML.

Best for: Small business, Mid-market, Enterprise

Read Knime review

Databricks

Databricks turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Databricks review

Knime vs Databricks — FAQ

Is Knime better than Databricks?

On RankedVendors, Databricks scores 90/100 versus Knime's 62/100, so Databricks ranks higher overall in Data & Analytics. The right choice still depends on your size, budget, and must-have features — see the breakdown above.

What is the difference between Knime and Databricks?

Knime is open-source data analytics and ML. Databricks turns raw data into decision-ready insight. Both compete in Data & Analytics; compare their strengths and best-fit company sizes above.

Which is better value, Knime or Databricks?

Our editorial value scores put Knime at 60/100 and Databricks at 92/100. Knime is Quote-based; Databricks is Quote-based. Request quotes from both to compare against your scale.