Memcached vs. Cassandra vs. RocksDB

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Memcached

Cassandra

RocksDB

Favorites

68

Favorites

57

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

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  • 24
  • 14.8K
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GitHub Stats

Description

What is Memcached?

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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 Memcached?

Pros
Why do you like Cassandra?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
No Cons submitted yet for Memcached
Cons
Cons
No Cons submitted yet for RocksDB

Companies

639 Companies Using Memcached
277 Companies Using Cassandra
4 Companies Using RocksDB

Integrations

Memcached Integrations
Cassandra Integrations
No integrations listed yet

Latest News

Deploying Memcached on Kubernetes Engine: tutorial
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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