Presto started as a project at Facebook, to run interactive analytic queries against a 300PB data warehouse, built with large Hadoop/HDFS-based clusters. Prior to building Presto, Facebook used Apache Hive, which it created and rolled out in 2008, to bring the familiarity of the SQL syntax to the Hadoop ecosystem. Hive had a significant impact on the Hadoop ecosystem for simplifying complex Java MapReduce jobs into SQL-like queries, while being able to execute jobs at high scale. However, it wasn’t optimized for fast performance needed in interactive queries.
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In 2012, the Facebook Data Infrastructure group built Presto, an interactive query system that could operate quickly at petabyte scale. It was rolled out company-wide in spring, 2013. In November, 2013, Facebook open sourced Presto under the Apache Software License, and made it available for anyone to download on Github. Today, Presto has become a popular choice for doing interactive queries on Hadoop, and has a lot of contributions from Facebook, and other organizations. Facebook’s implementation of Presto is used by over a thousand employees, who run more than 30,000 queries, processing one petabyte of data daily.
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Presto is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.
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Supports diverse use cases: ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high volume apps that perform sub-second queries.
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 for critical business operations, including financial results for public markets, by some of the largest organizations in the world.
Street of rage 2 freeroms. 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.
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The Presto project is community driven project under the non-profit Presto Software Foundation.