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Comparison

Starburst vs Databricks

Starburst and Databricks both land on Depends.

Starburst versus Databricks
CompareStarburstDatabricks
VerdictDependsDepends
Best forEnterprises with data spread across many sourcesEnterprise data teams
Who it's not forSmall teams that just need dashboards on one databaseSmall teams wanting simple analytics
PrivacyMature posture: public advisories, vulnerability scans, built-in access control; a 2024 CVE touched Starburst-based Dell Data Lakehouse.⁷Active security program (bug bounty, trust center) but several CVEs in 2024-2026, including a critical Azure SSRF flaw.
Support qualityOnly a support portal cited; no ratingsNo support-quality evidence found
Public sentimentSentiment is positive: 4.4/5 across 104 G2 reviews and 4.3/5 (123 reviews) for Galaxy on AWS Marketplace.¹Reviewers rate Databricks highly for capability and UX, but cost predictability is the loudest complaint.13
Biggest gotchaEnterprise pricing not published . expect sales negotiation, not a rate card⁴DBU pricing is opaque; buyers report unpredictable bills and overruns¹

Pick Starburst when

  • Enterprises with data spread across many sources
  • Data platform teams needing governed federated queries
  • Orgs building AI/analytics on a lakehouse
  • Companies with dedicated data engineering staff

When Starburst is not a fit

  • Small teams that just need dashboards on one database
  • Startups without a data engineering team
  • Buyers wanting transparent, self-serve pricing
  • Anyone whose data fits in Postgres plus a spreadsheet

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
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  6. security
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  9. news
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  13. review
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