Memcached vs. Cassandra vs. HBase

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Memcached

Cassandra

HBase

Favorites

68

Favorites

57

Favorites

13

Hacker News, Reddit, Stack Overflow Stats

  • 3
  • 11
  • 4.8K
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  • 24
  • 14.8K
  • -
  • -
  • 6.18K

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 HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

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Why do you like Cassandra?

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Why do you like HBase?

Cons about this tool

Cons
No Cons submitted yet for Memcached
Cons
Cons
No Cons submitted yet for HBase

Companies

639 Companies Using Memcached
277 Companies Using Cassandra
48 Companies Using HBase

Integrations

Memcached Integrations
Cassandra Integrations
HBase Integrations

Latest News

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Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language


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