Hadoop vs. HBase vs. Riak

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Hadoop

HBase

Riak

Favorites

45

Favorites

13

Favorites

16

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

Description

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.

What is Riak?

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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Why do you like Hadoop?

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Why do you like HBase?

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Companies

209 Companies Using Hadoop
47 Companies Using HBase
16 Companies Using Riak

Integrations

Hadoop Integrations
HBase Integrations
Riak Integrations

What are some alternatives to Hadoop, HBase, and Riak?

  • 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 Hadoop

Latest News

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