Data / Knowledge library
Trino
federated analytics across heterogeneous data sources
Why learn Trino?
Useful for joining and analyzing data across compatible sources. Connector capabilities, pushdown, and network movement affect cost and correctness.
Where it came from
Trino runs distributed SQL queries over data exposed through connectors. It separates query execution from the systems that store the underlying data.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Configure a catalog against sample data.
- Query two schemas through one SQL interface.
- Inspect a distributed query plan.
- Check which filters are pushed to a source.
- Measure data movement for a cross-source join.
Documentation and sources
- Official documentation (trino.io)
Catalog research notes
- Research snapshot: September 9, 2026. This entry summarizes the linked primary documentation; it does not assert a latest release version.