A lakehouse should let you pick the right tool for the job. As of this winter, Databasin does — across three engines and counting, all reading the same open tables.
The lineup
- Trino — the federated SQL workhorse you already know
- Apache Spark — clusters with notebooks and one-click wake, for ML and heavy processing (shipped late January)
- Python — first-class support in the lakehouse for data science workflows
- DuckDB — new today, with an in-editor engine selector: blazing, lightweight analytics with nothing to manage
One lake underneath
Every engine queries the same data — no copies, no per-engine silos, no sync jobs. New clusters run on Apache Iceberg, the open table format, so nothing about your storage is proprietary.
The supporting cast matters too: notebook automation (February 11) lets notebooks run on schedules, notebook sharing (February 15) makes them collaborative, and the multi-engine onboarding flow lets new organizations pick their engine mix at setup.
Update, June 2026: the lineup grew again — Apache Doris joined as engine number four.