MySQL vs. RethinkDB vs. Citus

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MySQL

RethinkDB

Citus

Favorites

391

Favorites

59

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 8.42K
  • 534K
  • 5.12K
  • 1.16K
  • 1.33K
  • 3.65K
  • 2.41K
  • 38

GitHub Stats

Description

What is MySQL?

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

What is RethinkDB?

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

What is Citus?

Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like RethinkDB?

Pros
Why do you like Citus?

Cons about this tool

Cons
Cons
No Cons submitted yet for RethinkDB
Cons
No Cons submitted yet for Citus

Pricing

Citus Pricing

Companies

2471 Companies Using MySQL
38 Companies Using RethinkDB
13 Companies Using Citus

Integrations

MySQL Integrations
RethinkDB Integrations
Citus Integrations

What are some alternatives to MySQL, RethinkDB, and Citus?

  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft
  • MariaDB - An enhanced, drop-in replacement for MySQL

See all alternatives to MySQL

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
The liberation of RethinkDB
How the Citus distributed database rebalances your data
Citus 7.2: Distributed Postgres w/ CTEs, complex sub...
Citus and pg_partman: Creating a scalable time serie...


Interest Over Time


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