Presto is a distributed SQL query engine designed for querying big data across multiple sources. Written in Java, it enables interactive SQL analysis on data stored in Hadoop, Hive, and other data lakes without requiring data movement or transformation into a separate analytics system. The engine supports querying data in various formats including Parquet and integrates with the Apache ecosystem, making it a core component for organizations managing large-scale data infrastructure.
The project maintains active development with significant community engagement.
Building Presto requires Java 17 with either Oracle JDK or OpenJDK, Maven 3.6.3 or later, and Python 2.4 or higher for the launcher script. The project uses a standard Maven build process that downloads dependencies on the first build and supports configuration through a local Maven cache to avoid conflicts when building multiple Presto projects simultaneously. The comprehensive unit test suite can be skipped during development builds to accelerate iteration. The project integrates with IntelliJ IDEA as the recommended development environment and includes sample configuration files that work out-of-the-box for local development.
Presto's architecture includes a native C++ implementation called Presto native, which rewrites the worker component using Velox, a C++ database library providing high-performance data processing components. This dual-implementation approach allows organizations to choose between the Java-based standard implementation and the performance-optimized native version depending on their workload requirements.
The user interface is built with React components written in JSX and ES6, compiled into browser-compatible JavaScript during the Maven build process. The UI can be excluded from builds using the skipUI flag for faster compilation when frontend changes are not needed. The project provides development container support through a separate presto-dev repository for streamlined local development setup.
The repository is classified across multiple domains including query engines, data warehousing, performance optimization, real-time analysis, and multi-source querying. It demonstrates strong overlap with other major projects through shared contributors, linking it to microsoft/vscode, trinodb/trino, and microsoft/typescript ecosystems. The project operates under the Apache License Version 2.0, with contributions governed by formal contribution guidelines and community coordination through a dedicated Slack channel for developer discussions.
