MySQL vs. Microsoft SQL Server vs. Riak

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MySQL

Microsoft SQL Server

Riak

Favorites

390

Favorites

30

Favorites

16

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 534K
  • 22K
  • 29.7K
  • 0
  • 1.45K
  • 438
  • 760

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 Microsoft SQL Server?

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like Microsoft SQL Server?

Pros
Why do you like Riak?

Cons about this tool

Cons
Cons
No Cons submitted yet for Microsoft SQL Server
Cons
No Cons submitted yet for Riak

Companies

2466 Companies Using MySQL
376 Companies Using Microsoft SQL Server
16 Companies Using Riak

Integrations

MySQL Integrations
Microsoft SQL Server Integrations
Riak Integrations

What are some alternatives to MySQL, Microsoft SQL Server, and Riak?

  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • MariaDB - An enhanced, drop-in replacement for MySQL
  • Memcached - High-performance, distributed memory object caching system

See all alternatives to MySQL

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
Microsoft SQL Server cookbook release – 5.4.0
Scaling Riak and Solr for Marketing Campaigns
How to Back Up Riak and Solr Data


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