Memcached vs. Hadoop vs. HBase

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Memcached

Hadoop

HBase

Favorites

68

Favorites

45

Favorites

13

Hacker News, Reddit, Stack Overflow Stats

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  • 11
  • 4.8K
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  • 29
  • 38.7K
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  • 6.19K

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 Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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 Memcached?

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Why do you like Hadoop?

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Why do you like HBase?

Companies

639 Companies Using Memcached
207 Companies Using Hadoop
48 Companies Using HBase

Integrations

Memcached Integrations
Hadoop Integrations
HBase Integrations

Latest News

Deploying Memcached on Kubernetes Engine: tutorial
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released


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