Presto is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.
Supports diverse use cases: ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high volume apps that perform sub-second queries.
You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex and error-prone processes for copying the data to a proprietary storage system.
Access data from multiple systems within a single query. For example, join historic log data stored in S3 with real-time customer data stored in MySQL.
Presto is an ANSI SQL compliant query engine and works with BI tools such as R, Tableau, MicroStrategy, Power BI, and Superset.
Presto is used for critical business operations, including financial results for public markets, by some of the largest organizations in the world.
Presto is optimized for both on-premise and cloud environments such as Amazon, Azure, and Google Cloud.
The largest organizations in the world use Presto to run exabyte scale warehouses.
The Presto project is community driven project under the non-profit Presto Software Foundation.