MySQL vs. Memcached vs. Hadoop

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MySQL

Memcached

Hadoop

Favorites

392

Favorites

68

Favorites

45

Hacker News, Reddit, Stack Overflow Stats

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  • 38.9K

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 Memcached?

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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.

Pros about this tool

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Why do you like MySQL?

Pros
Why do you like Memcached?

Pros
Why do you like Hadoop?

Cons about this tool

Cons
Cons
No Cons submitted yet for Memcached
Cons
No Cons submitted yet for Hadoop

Companies

2472 Companies Using MySQL
658 Companies Using Memcached
210 Companies Using Hadoop

Integrations

MySQL Integrations
Memcached Integrations
Hadoop Integrations

What are some alternatives to MySQL, Memcached, and Hadoop?

  • 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
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Deploying Memcached on Kubernetes Engine: tutorial
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


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