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Databricks vs Looker

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.

Databricks vs Looker at a glance

Editorial sub-scores are RankedVendors estimates.

DatabricksLooker
Overall score90/10091/100
TierEliteElite
Capability (editorial)8993
Ease of use (editorial)8990
Value (editorial)9287
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. Databricks fits small business, mid-market, enterprise; Looker 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

Databricks

Databricks turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Databricks review

Looker

Looker turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Looker review

Databricks vs Looker — FAQ

Is Databricks better than Looker?

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 Databricks and Looker?

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

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