Presto

About Presto

A distributed SQL query engine designed to query large datasets distributed over one or more heterogeneous data sources. Presto enables interactive analytics on petabytes of data across data lakes, warehouses, and databases using standard SQL.

Key Features

• 1Distributed SQL query engine for federated queries across multiple data sources
• 2Queries S3/Hive, PostgreSQL, MySQL, Kafka, and more in a single SQL statement
• 3MPP architecture with pipeline execution for sub-second interactive queries
• 4Connector plugin system for custom data source integration
• 5Compatible with standard JDBC/ODBC clients and BI tools

How Python Data Engineers Use Presto

Python data engineers use `pyhive` or `presto-python-client` to run federated SQL queries that join data across S3-backed Hive tables, relational databases, and Kafka topics in a single query. This eliminates the need to move data before querying — engineers write one SQL statement and Presto distributes the query across sources.