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Fivetran vs Databricks

Researched & reviewed by the RankedVendors Research Team · Updated June 2026

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.

Fivetran vs Databricks at a glance

Editorial sub-scores are RankedVendors estimates.

FivetranDatabricks
Overall score84/10090/100 ✓
TierPremiumElite
Capability (editorial)8689 ✓
Ease of use (editorial)8189 ✓
Value (editorial)8192 ✓
Best forSmall business, Mid-market, EnterpriseSmall business, Mid-market, Enterprise
Pricing modelQuote-basedQuote-based
Headquarters——
Founded——
Visit Fivetran ↗Visit Databricks ↗See full Data & Analytics ranking

Verdict

Databricks is the higher-ranked of the two on RankedVendors (90/100 vs 84/100), but both are credible Data & Analytics options. Fivetran 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

Fivetran

Fivetran turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Fivetran review

Databricks

Databricks turns raw data into decision-ready insight.

Best for: Small business, Mid-market, Enterprise

Read Databricks review

Fivetran vs Databricks — FAQ

Is Fivetran better than Databricks?

On RankedVendors, Databricks scores 90/100 versus Fivetran's 84/100, 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 Fivetran and Databricks?

Fivetran 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, Fivetran or Databricks?

Our editorial value scores put Fivetran at 81/100 and Databricks at 92/100. Fivetran is Quote-based; Databricks is Quote-based. Request quotes from both to compare against your scale.