Trino
Distributed SQL query engine that lets you run federated queries across multiple data sources - databases, data lakes, and more - from one place.
- Actively maintained
- Foundation-backed
- Well documented
- Permissive license
Overview
Trino runs SQL queries that can join and aggregate data across many different underlying systems - PostgreSQL, object storage data lakes, Kafka, and dozens of other connectors - without first copying all that data into one warehouse. It separates the query engine from where the data actually lives.
Trino is a fit for teams that need to query across multiple existing data sources without a large data-migration project, a different role than the OLAP databases (like ClickHouse, also in this catalog) that store the data themselves rather than querying it in place.
Why it's in this catalog
Catalog rating: ★★★★☆ (4/5)
Leading distributed SQL query engine for federated analytics, strong representative pick.
- Foundational
- Foundation-governed
- Categories
- Analytics
- Languages
- Java
- License
- Apache-2.0
Related Projects
Spark
Apache-2.0Unified analytics engine for large-scale batch and stream data processing, one of the most widely adopted big data frameworks.
Actively maintained
- Analytics
Flink
Apache-2.0Distributed stream processing engine for computing over continuous, unbounded data streams with exactly-once correctness guarantees.
Actively maintained
- Analytics
ClickHouse
Apache-2.0Column-oriented database built for real-time analytical queries over massive datasets, generating aggregated reports in milliseconds rather than seconds or minutes.
Actively maintained
- Analytics
PostHog
MITOpen source product analytics platform with feature flags, session replay and A/B testing.
Actively maintained
- Analytics
Spotted an error? Suggest an edit on GitHub.