Couchbase vs HBase: What are the differences?
Developers describe Couchbase as "Document-Oriented NoSQL Database". Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands. On the other hand, HBase is detailed as "The Hadoop database, a distributed, scalable, big data store". Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
Couchbase and HBase can be categorized as "Databases" tools.
"Flexible data model, easy scalability, extremely fast" is the top reason why over 13 developers like Couchbase, while over 7 developers mention "Performance" as the leading cause for choosing HBase.
HBase is an open source tool with 2.91K GitHub stars and 2.01K GitHub forks. Here's a link to HBase's open source repository on GitHub.
Pinterest, HubSpot, and Yammer are some of the popular companies that use HBase, whereas Couchbase is used by RecordSetter, Musixmatch, and Crowdpark. HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Couchbase, which is listed in 45 company stacks and 21 developer stacks.
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