eXist VS Presto

Compare eXist vs Presto and see what are their differences.

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eXist Presto
- 14
409 15,624
1.0% 0.7%
9.7 9.9
6 days ago 6 days ago
Java Java
GNU Lesser General Public License v3.0 only 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.

eXist

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

We haven't tracked posts mentioning eXist 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 2024-01-28.

What are some alternatives?

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

MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.

Trino - Official repository of Trino, the distributed SQL query engine for big data, former

Apache Phoenix - Apache Phoenix

EVCache - A distributed in-memory data store for the cloud

Apache Calcite - Apache Calcite

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

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

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.

JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.

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