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* [[Amadeus IT Group]], as its main long-term storage DB.
* [[Amadeus IT Group]], as its main long-term storage DB.
* [[Facebook]] uses HBase for its messaging platform.
* [[Facebook]] uses HBase for its messaging platform.
* [[Netflix]]<ref>{{cite web|url=http://apachebigdata2015.sched.org/event/2a65daf0baa4cfbc227a8cb74a9103a2?iframe=no&w=i:100;&sidebar=yes&bg=no |title=Netflix: Integrating Spark at Petabyte Scale |author=Cheolsoo Park and Ashwin Shankar}}</ref>
* [[Spotify]] uses HBase as base for Hadoop and machine learning jobs.
* [[Sophos]] uses HBase for some of their back-end systems.
* [[Sophos]], for some of their back-end systems.
* [[Spotify]] uses HBase as base for Hadoop and machine learning jobs.<ref>{{cite web|url=http://apachebigdata2015.sched.org/event/2a65daf0baa4cfbc227a8cb74a9103a2?iframe=no&w=i:100;&sidebar=yes&bg=no |title=How Apache Drives Spotify's Music Recommendations |author=Josh Baer}}</ref>
* [[Tuenti]] uses HBase for its messaging platform.
* [[Tuenti]] uses HBase for its messaging platform.


Revision as of 20:22, 29 September 2015

Apache HBase
Developer(s)Apache Software Foundation
Stable release
1.1.0.1 / 21 May 2015 (2015-05-21)
Repository
Written inJava
Operating systemCross-platform
LicenseApache License 2.0
Websitehbase.apache.org

HBase is an open source, non-relational, distributed database modeled after Google's BigTable and written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed Filesystem), providing BigTable-like capabilities for Hadoop. That is, it provides a fault-tolerant way of storing large quantities of sparse data (small amounts of information caught within a large collection of empty or unimportant data, such as finding the 50 largest items in a group of 2 billion records, or finding the non-zero items representing less than 0.1% of a huge collection).

HBase features compression, in-memory operation, and Bloom filters on a per-column basis as outlined in the original BigTable paper.[1] Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs.

HBase is not a direct replacement for a classic SQL database, however Apache Phoenix project provides a SQL layer for Hbase as well as JDBC driver that can be integrated with various analytics and business intelligence applications.

Hbase is now serving several data-driven websites,[2][3] including Facebook's Messaging Platform.[4][5]

In the parlance of Eric Brewer’s CAP theorem, HBase is a CP type system.

History

Apache HBase began as a project by the company Powerset out of a need to process massive amounts of data for the purposes of natural language search. It is now a top-level Apache project.

Facebook elected to implement its new messaging platform using HBase in November 2010.[4]

Use cases & production deployments

Due to its characteristics, HBase is used by mostly all the main web companies.

Enterprises that use HBase

The following is a list of notable enterprises that have used or are using HBase:

See also

References

  1. ^ Chang, et al. (2006). Bigtable: A Distributed Storage System for Structured Data
  2. ^ Powered By HBase
  3. ^ StumbleUpon HBase Presentation
  4. ^ a b The Underlying Technology of Messages
  5. ^ Facebook: Why our 'next-gen' comms ditched MySQL Retrieved: 17 December 2010
  6. ^ Cheolsoo Park and Ashwin Shankar. "Netflix: Integrating Spark at Petabyte Scale".
  7. ^ Josh Baer. "How Apache Drives Spotify's Music Recommendations".

Bibliography

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