Databricks
Depends
Confidence: High
Buy if you run large-scale data/ML with dedicated data engineers and budget for cost management.
New check
Comparison
Databricks and Dremio both land on Depends.
Buy if you run large-scale data/ML with dedicated data engineers and budget for cost management.
Buy if you are a mid-size or large org with lake-scale data on S3 and dedicated data engineers.
| Compare | ||
|---|---|---|
| Verdict | Depends | Depends |
| Best for | Enterprise data teams | Enterprises with data lakes on S3 |
| Who it's not for | Small teams wanting simple analytics | Small teams that just need a dashboard |
| Privacy | Active security program (bug bounty, trust center) but several CVEs in 2024-2026, including a critical Azure SSRF flaw.10 | One known auth-bypass CVE (2025); otherwise strong posture . CVE Numbering Authority, certifications, build scanning. |
| Support quality | No support-quality evidence found | No usable evidence |
| Public sentiment | Reviewers rate Databricks highly for capability and UX, but cost predictability is the loudest complaint.¹ | Users praise the SQL simplicity and lakehouse speed but report heavy setup and a smaller community than Databricks or Snowflake.15 |
| Biggest gotcha | DBU pricing is opaque; buyers report unpredictable bills and overruns¹ | Self-hosted OSS ships dependency CVEs; patching is on your team. |