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Looker 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.

Looker vs Databricks at a glance

Editorial sub-scores are RankedVendors estimates.

LookerDatabricks
Overall score91/10090/100
TierEliteElite
Capability (editorial)9389
Ease of use (editorial)9089
Value (editorial)8792
Best forSmall business, Mid-market, EnterpriseSmall business, Mid-market, Enterprise
Pricing modelQuote-basedQuote-based
Headquarters
Founded

Verdict

Looker is the higher-ranked of the two on RankedVendors (91/100 vs 90/100), but both are credible Data & Analytics options. Looker 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

Looker

Looker turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Looker review

Databricks

Databricks turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Databricks review

Looker vs Databricks — FAQ

Is Looker better than Databricks?

On RankedVendors, Looker scores 91/100 versus Databricks's 90/100, so Looker 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 Looker and Databricks?

Looker turns raw data into decision-ready insight. 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, Looker or Databricks?

Our editorial value scores put Looker at 87/100 and Databricks at 92/100. Looker is Quote-based; Databricks is Quote-based. Request quotes from both to compare against your scale.