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Apache HBase is an open source, scalable, distributed database for storing and accessing big data. It is suitable for large amounts of data while providing consistent reads and writes. It provides linear and modular scalability and is modeled after Google’s Bigtable. In addition to Hadoop and HDFS, it also provides Bigtable-like functionality.

HBase is a NoSQL distributed database with features that support linear and modular scaling. Therefore, it is mainly suitable for situations where a large amount of data needs to be stored. Otherwise, an RDBMS might be a better fit. It also lacks some functionality available in RDBMS and is not directly portable.

Unlike HDFS, which is a distributed file system that can be used to store very large files, but does not support fast individual record lookups in files, HBase provides fast record lookups for large tables.

Among other notable features, HBase provides automatic and configurable table sharding, failover support between RegionServers, base classes for supporting Hadoop MapReduce jobs with HBase tables, Java API for client access, Scalable jruby-based shell, block cache, and Bloom Filters for real-time querying, and support for exporting metrics through the Hadoop subsystem.