FlexyPool VS Apache Phoenix

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

FlexyPool

FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand. (by vladmihalcea)
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FlexyPool Apache Phoenix
3 -
1,086 1,026
- 0.3%
4.6 9.1
16 days ago 12 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.

FlexyPool

Posts with mentions or reviews of FlexyPool. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-11.

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.

What are some alternatives?

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

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

Presto - The official home of the Presto distributed SQL query engine for big data

Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool

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.

Apache Hive - Apache Hive

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.

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

Flyway - Flyway by Redgate • Database Migrations Made Easy.

H2 - H2 is an embeddable RDBMS written in Java.

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