MySQL vs. Cassandra vs. NuoDB

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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 Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is NuoDB?

NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.
Why do developers choose MySQL?
Why do you like MySQL?

Why do developers choose Cassandra?
Why do you like Cassandra?

Why do developers choose NuoDB?
Why do you like NuoDB?

What are the cons of using MySQL?
Downsides of MySQL?

What are the cons of using Cassandra?
Downsides of Cassandra?

What are the cons of using NuoDB?
No Cons submitted yet for NuoDB
Downsides of NuoDB?

Want advice about which of these to choose?Ask the StackShare community!

What companies use MySQL?
3815 companies on StackShare use MySQL
What companies use Cassandra?
397 companies on StackShare use Cassandra
What companies use NuoDB?
0 companies on StackShare use NuoDB
What tools integrate with MySQL?
82 tools on StackShare integrate with MySQL
What tools integrate with Cassandra?
23 tools on StackShare integrate with Cassandra
No integrations listed yet

What are some alternatives to MySQL, Cassandra, and NuoDB?

  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • MariaDB - An enhanced, drop-in replacement for MySQL
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to MySQL

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