Apache Phoenix VS Presto

Compare Apache Phoenix vs Presto and see what are their differences.

Apache Phoenix

Mirror of Apache Phoenix (by apache)

Presto

The official home of the Presto distributed SQL query engine for big data (by prestodb)
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Apache Phoenix Presto
0 12
996 15,096
0.4% 0.6%
0.0 9.8
5 days ago 5 days ago
Java Java
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Apache Phoenix

Posts with mentions or reviews of Apache Phoenix. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Apache Phoenix yet.
Tracking mentions began in Dec 2020.

Presto

Posts with mentions or reviews of Presto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-14.

What are some alternatives?

When comparing Apache Phoenix and Presto you can also consider the following projects:

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Apache Calcite - Apache Calcite

HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.

jOOQ - jOOQ is the best way to write SQL in Java

Spring Data JPA - Simplifies the development of creating a JPA-based data access layer.

Apache Drill - Apache Drill is a distributed MPP query layer for self describing data

Apache Hive - Apache Hive

Querydsl - Unified Queries for Java

Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.