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Comparison

Dremio vs Databricks

Dremio and Databricks both land on Depends.

Dremio versus Databricks
CompareDremioDatabricks
VerdictDependsDepends
Best forEnterprises with data lakes on S3Enterprise data teams
Who it's not forSmall teams that just need a dashboardSmall teams wanting simple analytics
PrivacyOne known auth-bypass CVE (2025); otherwise strong posture . CVE Numbering Authority, certifications, build scanning.⁶Active security program (bug bounty, trust center) but several CVEs in 2024-2026, including a critical Azure SSRF flaw.
Support qualityNo usable evidenceNo support-quality evidence found
Public sentimentUsers praise the SQL simplicity and lakehouse speed but report heavy setup and a smaller community than Databricks or Snowflake.¹Reviewers rate Databricks highly for capability and UX, but cost predictability is the loudest complaint.11
Biggest gotchaSelf-hosted OSS ships dependency CVEs; patching is on your team.DBU pricing is opaque; buyers report unpredictable bills and overruns¹

Pick Dremio when

  • Enterprises with data lakes on S3
  • SQL-first BI and analytics teams
  • Orgs building AI on lakehouse data

When Dremio is not a fit

  • Small teams that just need a dashboard
  • Anyone without dedicated data engineers
  • Startups wanting predictable flat pricing
  • Spark/ML-heavy shops better served by Databricks

Pick Databricks when

  • Enterprise data teams
  • Large-scale ETL and ML
  • Unified lakehouse with governance
  • AI-focused orgs on cloud data

When Databricks is not a fit

  • Small teams wanting simple analytics
  • Startups without dedicated data engineers
  • Price-sensitive buyers needing predictable bills
  • Dashboard-only BI needs

Sources

  1. review
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  4. official
  5. official
  6. security
  7. security
  8. news
  9. news
  10. review
  11. review
  12. review
  13. review
  14. review
  15. news
  16. news