The 3 best alternatives to Databricks Lakehouse
Editor-shortlisted alternatives to Databricks Lakehouse, ranked by similarity and rated on features, pricing, and verified user reviews.
The three we'd shortlist first
Trino-based query engine for federated data lake analytics.
Why switch: A close peer to Databricks Lakehouse in the same category — worth evaluating side-by-side.
Feature parity vs Databricks Lakehouse
Rating, pricing, and match score at a glance — Databricks Lakehouse in the first row as your baseline.
Migration guide: Databricks Lakehouse → Starburst Galaxy
A four-step playbook most teams follow when switching from Databricks Lakehouse.
- 1
Export your data
Pull your data from Databricks Lakehouse using the built-in export (CSV/JSON) or the official API.
- 2
Provision Starburst Galaxy
Create a workspace, invite your team, and configure SSO or auth to match your current setup.
- 3
Import & map fields
Use Starburst Galaxy's importer (or a lightweight ETL) and map your fields — start with a single project to validate.
- 4
Run in parallel
Keep both tools live for 1–2 weeks. Diff outputs and address gaps before the full cutover.
What switchers say
Paraphrased from verified user reviews of teams that migrated away from Databricks Lakehouse.
We switched after our team hit the pricing ceiling — the migration took a weekend and we haven't looked back.
— Head of Ops, 40-person SaaS
The UX felt familiar day one, and the CSV importer got us 95% of the way without engineering help.
— Product Manager, mid-market
Same features, roughly a third of the cost. The only thing we lost was one integration we barely used.
— Founder, seed-stage startup