Memcached vs. HBase vs. Kyoto Tycoon

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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 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.

What is Kyoto Tycoon?

Kyoto Tycoon is a lightweight database server with auto expiration mechanism, which is useful to handle cache data and persistent data of various applications. Kyoto Tycoon is also a package of network interface to the DBM called Kyoto Cabinet.

Pros

Why do developers choose Memcached?
Why do you like Memcached?

Why do developers choose HBase?
Why do you like HBase?

Why do developers choose Kyoto Tycoon?
Why do you like Kyoto Tycoon?

Pricing

How much does Memcached cost?
How much does HBase cost?
How much does Kyoto Tycoon cost?

Companies

What companies use Memcached?
665 companies on StackShare use Memcached
What companies use HBase?
47 companies on StackShare use HBase
What companies use Kyoto Tycoon?
2 companies on StackShare use Kyoto Tycoon

Integrations

What tools integrate with Memcached?
15 tools on StackShare integrate with Memcached
What tools integrate with HBase?
3 tools on StackShare integrate with HBase
What tools integrate with Kyoto Tycoon?
2 tools on StackShare integrate with Kyoto Tycoon

What are some alternatives to Memcached, HBase, and Kyoto Tycoon?

  • MySQL - The world's most popular open source database
  • 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

See all alternatives to Memcached

Latest News

Deploying Memcached on Kubernetes Engine: tutorial


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