Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.

Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:

• Best of breed performance and scalability.
• Support for data stored in HDFS, Apache HBase and Amazon S3.
• Wide analytic SQL support, including window functions and subqueries.
• On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
• Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
• Apache-licensed, 100% open source.

To learn more about Impala as a business user, or to try Impala live or in a VM, please visit the Impala homepage.

If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.