Presto SQL Query Engine
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A Presto SQL Query Engine is a high-performance distributed SQL query engine for very large data.
- AKA: PrestoDB.
- Example(s):
- PrestoDB v0.218 (~2019-03-25) [1].
- PrestoDB v0.200 (~2018-04-26) [2].
- …
- Counter-Example(s):
- See: SQL DBMS, Distributed DBMS, Presto Python Client, Presto Cassandra.
References
2019
- (Wikipedia, 2019) ⇒ https://en.wikipedia.org/wiki/Presto_(SQL_query_engine) Retrieved:2019-3-29.
- Presto is a high performance, distributed SQL query engine for big data. Its architecture allows users to query a variety of data sources such as Hadoop, AWS S3, Alluxio, MySQL, Cassandra, Kafka, and MongoDB. One can even query data from multiple data sources within a single query. Presto is community driven open-source software released under the Apache License.
2016
- https://prestodb.io/
- QUOTE: Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook.
What can it do?: Presto allows querying data where it lives, including Hive, Cassandra, relational databases or even proprietary data stores. A single Presto query can combine data from multiple sources, allowing for analytics across your entire organization. Presto is targeted at analysts who expect response times ranging from sub-second to minutes. Presto breaks the false choice between having fast analytics using an expensive commercial solution or using a slow "free" solution that requires excessive hardware.
- QUOTE: Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook.