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TRINO

Distributed SQL query engine for big data analytics

Apache-2.0

ABOUT

AI and data teams often need to query data spread across multiple systems—object storage, relational databases, data lakes, and streaming systems—each with its own interface and query language. Trino provides a single ANSI SQL interface to query data in-place across any source, without moving or copying it, enabling federated analytics, large-scale ETL, and ML data exploration at petabyte scale.

INSTALL
docker run --name trino -d -p 8080:8080 trinodb/trino pip install trino

INTEGRATION GUIDE

1. Query data across data lakes, relational databases, and streaming systems from a single SQL interface 2. Run petabyte-scale analytical queries for ML feature exploration and data preparation 3. Build federated analytics pipelines that join data across object storage (S3/GCS) and operational databases 4. Power BI and dashboarding tools with sub-second queries on large datasets via Trino's distributed engine

TAGS

sqlquery-engineanalyticsbig-datadata-lakefederated-querypython
Trino — AI Tool | Agentic AI For Good