|Developer(s)||Apache Software Foundation|
|Stable release||220.127.116.11 / 21 May 2015|
|License||Apache License 2.0|
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. 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.
In the parlance of Eric Brewer’s CAP Theorem, HBase is a CP type system.
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:
- Amadeus IT Group, as its main long-term storage DB.
- Facebook uses HBase for its messaging platform.
- Sophos, for some of their back-end systems.
- Spotify uses HBase as base for Hadoop and machine learning jobs.
- Tuenti uses HBase for its messaging platform. 
- Wide column store
- Apache Cassandra
- Cask (company)
- Oracle NOSQL
- Apache Accumulo
- Project Voldemort
- Apache Phoenix
- Chang, et al. (2006). Bigtable: A Distributed Storage System for Structured Data
- Powered By HBase
- The Underlying Technology of Messages
- Facebook: Why our 'next-gen' comms ditched MySQL Retrieved: 17 December 2010
- Doyung Yoon. "S2Graph : A Large-Scale Graph Database with HBase".
- Cheolsoo Park and Ashwin Shankar. "Netflix: Integrating Spark at Petabyte Scale".
- Josh Baer. "How Apache Drives Spotify's Music Recommendations".
- "Tuenti Group Chat: Simple, yet complex".
- "Tuenti Asyncthrift".
- Dimiduk, Nick; Khurana, Amandeep (28 November 2012). HBase in Action (1st ed.). Manning Publications. p. 350. ISBN 978-1617290527.
- George, Lars (20 September 2011). HBase: The Definitive Guide (1st ed.). O'Reilly Media. p. 556. ISBN 978-1449396107.
- Jiang, Yifeng (16 August 2012). HBase Administration Cookbook (1st ed.). Packt Publishing. p. 332. ISBN 978-1849517140.
- Official Apache HBase homepage
- Official Apache Hadoop homepage
- HBaseCon: Official community conference
- Understanding HBase
- A vendor-independent comparison of NoSQL databases: Cassandra, HBase, MongoDB, Riak (NetworkWorld)
- Is HBase considered harmful?