4.6/5
G2 rating
13,000+ reviews
Report
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
Depends
DependsBuy if you run large-scale data/ML with dedicated data engineers and budget for cost management.
Praised enterprise lakehouse — strong UX, deep features — but DBU costs surprise buyers. Built for scale; overkill for small teams.
4.6/5
G2 rating
13,000+ reviews
$0.07–$0.70
Compute pricing
per DBU, pay-as-you-go
$190B
Valuation
$5B round closed Aug 2026
$25.2B
Total funding
raised to date
Costs overrun and surprise buyers; dominant complaint
Reviewers praise ease of use and UX
ETL, warehousing, governance, AI in one platform
Strong program, but repeated 2024–2026 CVEs
$0.07–$0.70 per DBU
Active security program (bug bounty, trust center) but several CVEs in 2024–2026, including a critical Azure SSRF flaw.
Reviewers rate Databricks highly for capability and UX, but cost predictability is the loudest complaint.
“Databricks + Snowflake is the top shelf data platform”
“My advice to others: be extremely cautious with Databricks”
“Users consistently praise Databricks for its ease of use”
Compare Databricks with each alternative.
Leading warehouse rival; often simpler consumption pricing.
Databricks vs SnowflakeOpen lakehouse with self-hosted flexibility.
Databricks vs DremioLightweight DuckDB cloud for small analytics teams.
Databricks vs MotherDuck (DuckDB)Real-time analytics for smaller data workloads.
Databricks vs TinybirdBased on 30+ public sources including G2, Reddit, Gartner, vendor pricing analyses, and CVE databases.
Anonymous. You can change your vote.
Loading votes…
Ask if a use case fits. Answers stay inside this report and its sources.
Comments
One queue. No replies. Give a display name first. Limit: 7 comments per day.
No comments yet.