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1. en.wikipedia.org › wiki › Presto_(SQL_query_engine)Presto (SQL query engine) - Wikipedia

   en.wikipedia.org › wiki › Presto_(SQL_query_engine)

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   Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop , Cassandra , Kafka , AWS S3 , Alluxio , MySQL , MongoDB and Teradata , [ 1 ] and allows use of multiple data sources within a query.

2. research.facebook.com › publications › presto-aPresto: A Decade of SQL Analytics at Meta - Meta Research

   research.facebook.com › publications › presto-a

   Some of the notable ones are hierarchical caching, native vectorized execution engines, materialized views, and Presto on Spark. With these new capabilities, we have deprecated or are in the process of deprecating various legacy query engines so that Presto becomes the single piece to serve interactive, ad-hoc, ETL, and graph processing workloads for the entire data warehouse.

3. www.eecs.umich.edu › papers › prestoPresto: A Decade of SQL Analytics at Meta

   www.eecs.umich.edu › papers › presto

   ones are hierarchical caching, native vectorized execution engines, materialized views, and Presto on Spark.With these new capabili-ties, we have deprecated or are in the process of deprecating various legacy query engines so that Presto becomes the single piece to serve interactive, ad-hoc, ETL, and graph processing workloads for

4. www.starburst.io › blog › prestodb-vs-prestosqlPrestoDB vs PrestoSQL vs Trino - Starburst

   www.starburst.io › blog › prestodb-vs-prestosql

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   Sep 15, 2023 · Presto is an open source distributed SQL query engine for running high performance queries against various data sources ranging in size from gigabytes to petabytes. Presto was designed and built from scratch in Java for interactive analytics as a replacement for Apache Hadoop/HDFS MapReduce jobs.

5. dl.acm.org › doi › 10Presto: A Decade of SQL Analytics at Meta | Proceedings of ...

   dl.acm.org › doi › 10

   Jun 20, 2023 · Some of the notable ones are hierarchical caching, native vectorized execution engines, materialized views, and Presto on Spark. With these new capabilities, we have deprecated or are in the process of deprecating various legacy query engines so that Presto becomes the single piece for the entire data warehouse.

6. www.techtarget.com › searchdatamanagement › featureA look at Presto, Trino SQL query engines - TechTarget

   www.techtarget.com › searchdatamanagement › feature

   Aug 9, 2022 · The effect Presto has had on the data community over the past decade is not lost on industry analysts. "Trino and Presto helped drive the rise of the query engine, which helps enterprises maintain fast data access even as their environments grow more complicated," said Kevin Petrie, analyst at Eckerson Group. "The query engine uses familiar SQL ...

7. People also ask

   Is Presto a legacy query engine?

   • Some of the notable ones are hierarchical caching, native vectorized execution engines, materialized views, and Presto on Spark. With these new capabilities, we have deprecated or are in the process of deprecating various legacy query engines so that Presto becomes the single piece for the entire data warehouse.

   Presto: A Decade of SQL Analytics at Meta | Proceedings of the ACM on

   dl.acm.org/doi/10.1145/3589769

   See all results for this question

   What is a Presto query engine?

   • The Presto query engine provides a quick and easy way to allow access to data from a variety of sources using industry standard ANSI SQL syntax. End users don’t have to learn any new complex language or new tool; they can simply utilize existing tools for analytics with which they are comfortable.

   PrestoDB vs PrestoSQL vs Trino - Starburst

   www.starburst.io/blog/prestodb-vs-prestosql/

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   What is Presto & how does it work?

   • Presto is an open source distributed SQL query engine for running high performance queries against various data sources ranging in size from gigabytes to petabytes. Presto was designed and built from scratch in Java for interactive analytics as a replacement for Apache Hadoop/HDFS MapReduce jobs.

   PrestoDB vs PrestoSQL vs Trino - Starburst

   www.starburst.io/blog/prestodb-vs-prestosql/

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   What data sources does Presto use?

   • Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, and allows use of multiple data sources within a query. Presto is community-driven open-source software released under the Apache License.

   Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

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   What is Presto DB & Trino?

   • Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, and allows use of multiple data sources within a query.

   Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

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   How did Trino & Presto contribute to the rise of query engine?

   • Trino and Presto helped drive the rise of the query engine, which helps enterprises maintain fast data access even as their environments grow more complicated. Kevin Petrie Analyst, Eckerson Group Data stores include SQL databases, NoSQL databases, object stores and file systems, according to Petrie.

   A look at Presto, Trino SQL query engines - TechTarget

   www.techtarget.com/searchdatamanagement/feature/A-look-at-Presto-Trino-SQL-query-engines

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8. prestodb.github.ioPresto: Free, Open-Source SQL Query Engine for any Data

   prestodb.github.io

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   Presto is an in-memory distributed SQL engine, faster than other compute engines in the disaggregated stack. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need ...