What is difference between Presto and Hive?

Is Presto built on Hive?

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.

What is Presto used for?

Presto or PrestoDB is a distributed SQL query engine that is used best for running interactive analytic workloads in your big data environment. Presto allows you to query against many different data sources whether its HDFS, MySQL, Cassandra, or Hive.

Is Presto better than Hive?

Presto is designed to comply with ANSI SQL, while Hive uses HiveQL. Presto can handle limited amounts of data, so it's better to use Hive when generating large reports. … Hive uses map-reduce architecture and writes data to disk while Presto uses HDFS architecture without map-reduce.

Is Presto faster than Hive?

An upstream stage receives data from its downstream stages, so the intermediate data can be passed directly without using disks. If the query consists of multiple stages, Presto can be 100 or more times faster than Hive.

Is PRESTO faster than Hive?

An upstream stage receives data from its downstream stages, so the intermediate data can be passed directly without using disks. If the query consists of multiple stages, Presto can be 100 or more times faster than Hive.

How does PRESTO work with Hive?

Presto is designed to comply with ANSI SQL, while Hive uses HiveQL. Presto can handle limited amounts of data, so it's better to use Hive when generating large reports. … Hive uses map-reduce architecture and writes data to disk while Presto uses HDFS architecture without map-reduce.

What language is Presto?

From Italian presto (“quickly”).

Does uber use Presto?

Using Presto at Uber We chose Presto as our system's SQL engine because of its scalability, high performance, and smooth integration with Hadoop. These properties make it a good fit for many of our teams.

Is Presto columnar?

Presto is a columnar query engine, so for optimal performance the reader should provide columns directly to Presto. The Hive-based ORC reader provides data in row form, and Presto must reorganize the data into columns.

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