MySQL vs. Hadoop vs. TokuMX

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MySQL

Hadoop

TokuMX

Favorites

390

Favorites

45

Favorites

3

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 533K
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  • 29
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  • 538
  • 134
  • 0

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 TokuMX?

TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like Hadoop?

Pros
Why do you like TokuMX?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for TokuMX

Pricing

Companies

2459 Companies Using MySQL
208 Companies Using Hadoop
2 Companies Using TokuMX

Integrations

MySQL Integrations
Hadoop Integrations
TokuMX Integrations

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

  • 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
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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