MySQL vs. Hadoop vs. Citus

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MySQL

Hadoop

Citus

Favorites

387

Favorites

45

Favorites

8

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  • 530K
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  • 29
  • 38.7K
  • 3.65K
  • 2.12K
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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 Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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.

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Why do you like MySQL?

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Why do you like Hadoop?

Pros
Why do you like Citus?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for Citus

Pricing

Citus Pricing

Companies

2407 Companies Using MySQL
208 Companies Using Hadoop
12 Companies Using Citus

Integrations

MySQL Integrations
Hadoop Integrations
Citus Integrations

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
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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