Couchbase vs Hadoop: 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, Hadoop is detailed as "Open-source software for reliable, scalable, distributed computing". The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Couchbase and Hadoop can be primarily classified as "Databases" tools.
"Flexible data model, easy scalability, extremely fast" is the top reason why over 13 developers like Couchbase, while over 34 developers mention "Great ecosystem" as the leading cause for choosing Hadoop.
Hadoop is an open source tool with 9.18K GitHub stars and 5.74K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.
Slack, Shopify, and SendGrid are some of the popular companies that use Hadoop, whereas Couchbase is used by RecordSetter, Musixmatch, and Crowdpark. Hadoop has a broader approval, being mentioned in 237 company stacks & 116 developers stacks; compared to Couchbase, which is listed in 45 company stacks and 20 developer stacks.
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