MySQL vs. Riak vs. FoundationDB

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MySQL

Riak

FoundationDB

Favorites

391

Favorites

16

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 534K
  • 1.45K
  • 438
  • 759
  • 542
  • 206
  • 17

GitHub Stats

No public GitHub repository stats available

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 Riak?

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

What is FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like Riak?

Pros
Why do you like FoundationDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Riak
Cons
No Cons submitted yet for FoundationDB
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Pricing

FoundationDB Pricing

Companies

2471 Companies Using MySQL
16 Companies Using Riak
1 Companies Using FoundationDB

Integrations

MySQL Integrations
Riak Integrations
No integrations listed yet

What are some alternatives to MySQL, Riak, and FoundationDB?

  • 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
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