MySQL vs. InfluxDB vs. Citus

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MySQL

InfluxDB

Citus

Favorites

390

Favorites

32

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 534K
  • 798
  • 134
  • 1.18K
  • 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 InfluxDB?

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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 InfluxDB?

Pros
Why do you like Citus?

Cons about this tool

Cons
Cons
No Cons submitted yet for InfluxDB
Cons
No Cons submitted yet for Citus
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Pricing

Citus Pricing

Companies

2469 Companies Using MySQL
92 Companies Using InfluxDB
13 Companies Using Citus

Integrations

MySQL Integrations
InfluxDB Integrations
Citus Integrations

What are some alternatives to MySQL, InfluxDB, 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
A Deep Dive into InfluxDB
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...


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