The Databasin lakehouse now runs four open engines: Trino, Apache Spark, DuckDB — and as of today, Apache Doris.
Doris is purpose-built for interactive, aggregation-heavy analytics: the dashboards, drill-downs, and "slice it twelve ways" workloads where you want answers in milliseconds, not minutes. It's the engine you reach for when a BI-style query needs to feel instant.
What you get
- Sub-second OLAP performance on aggregation-heavy, high-concurrency workloads
- The same SQL editor experience you already know — streaming results, one-click cluster wake, live status, session reuse
- The same open Iceberg tables. Doris queries the lakehouse you already have. No data copies, no second silo, no sync jobs.
- Per-workload engine choice: federated joins on Trino, ML and pipelines on Spark, embedded analytics on DuckDB, real-time OLAP on Doris
Because every engine reads the same open tables, switching is a dropdown — not a migration. Your SQL and your data stay portable, always.
Spin up a Doris cluster from Lakehouse → Clusters and point your hottest dashboard query at it. You'll feel the difference on the first run.