What are the features and application of HBase?

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HBase

HBase is a column-oriented distributed database developed on top of the Hadoop file system. It is an open-source project that may be scaled horizontally. HBase is a data architecture comparable to Google's big table that is meant to allow fast random access to massive volumes of structured data. It makes use of the Hadoop File System's fault tolerance (HDFS).

Apache HBase is a Hadoop -based distributed, scalable NoSqlb Big data storage.HBase is capable of hosting very large tables-billions of rows and millions of columns-and of providing real-time, random read/write access to Hadoop data. HBase is a multi-column data store inspired by Google Bigtable, a database interface to Google's proprietary File System. HBase adds Bigtable-like features to read/write access to Hadoop-compatible file systems like MapR XD. HBase scales linearly over very large datasets and allows for the easy combination of data sources with heterogeneous topologies and schemas. 

 Features of HBase

  • HBase is linearly scalable.
  • It has automatic failure support.
  • It provides consistent reading and writing. 
  • It integrates with Hadoop, both as a source and a destination.
  • It has an easy java API for clients.
  • It provides data replication across clusters.


Where to use. HBase? 

  • Apache HBase is used to have random, real-time read/write access to Big Data. 
  • It hosts very large tables on top of clusters of commodity hardware.
  • Apache HBase is a non-relational database modeled after Google's Bigtable. Bigtable acts up on Google File System, likewise, Apache HBase works on top of Hadoop and HDFS.


Applications of HBase

  • It is used whenever there is a need to develop complex applications.
  • HBase is used whenever we need to provide fast random access to available data. 
  • Companies such as Facebook, Twitter, Yahoo, and Adobe use HBase internally.


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