MySQL vs. Cassandra vs. RocksDB

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MySQL

Cassandra

RocksDB

Favorites

390

Favorites

57

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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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 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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

Pros about this tool

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Why do you like MySQL?

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Why do you like Cassandra?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
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Cons
No Cons submitted yet for RocksDB

Companies

2469 Companies Using MySQL
289 Companies Using Cassandra
4 Companies Using RocksDB

Integrations

MySQL Integrations
Cassandra Integrations
No integrations listed yet

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

  • 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
Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language
All things RocksDB at Percona Live Europe 2017


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