description Apache HBase Overview
Apache HBase is a distributed NoSQL database designed for storing large volumes of rapidly changing data. It utilizes a wide-column format ideal for applications needing fast access to structured and semi-structured information. Primarily used by developers and analysts working within the Hadoop ecosystem who require real-time analytics and scalable storage solutions.
help Apache HBase FAQ
What data model does Apache HBase use?
HBase is a distributed wide-column NoSQL database organized around rows, column families, cells, and row-key lookups. Its cell model can also retain multiple timestamped versions of a value, which is useful for changing sparse datasets. [Apache HBase documentation](https://hbase.apache.org/docs/single-page/)
Does Apache HBase require Hadoop and HDFS?
HBase supports HDFS as its distributed file system and commonly runs alongside Hadoop components in a cluster. For local testing, HBase can run in standalone mode on the local file system with a local ZooKeeper process. [Apache HBase documentation](https://hbase.apache.org/docs/single-page/)
When is HBase a better fit than a relational database?
HBase suits very large, sparse, rapidly changing data that is normally retrieved by a row key rather than through many joins. It is not a drop-in replacement for PostgreSQL or MySQL when the application depends on relational joins and SQL transactions.
What services are used in a distributed HBase cluster?
A fully distributed installation uses RegionServers to store and serve regions, an HBase Master for coordination, and a ZooKeeper quorum for cluster coordination. Apache's documentation recommends distributed mode for production and describes ZooKeeper ensembles with 3, 5, or 7 members. [Apache HBase documentation](https://hbase.apache.org/docs/zookeeper/)
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