Badger vs RethinkDB: What are the differences?
Developers describe Badger ** as "A fast key-value store written natively in Go". Badger is written out of frustration with existing KV stores which are either natively written in Go and slow, or fast but require usage of Cgo. Badger aims to provide an equal or better speed compared to industry leading KV stores (like RocksDB), while maintaining the entire code base in Go natively. On the other hand, **RethinkDB is detailed as "JSON. Scales to multiple machines with very little effort. Open source". RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
Badger and RethinkDB can be primarily classified as "Databases" tools.
Badger and RethinkDB are both open source tools. RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub appears to be more popular than Badger with 6.13K GitHub stars and 430 GitHub forks.
What is Badger ?
What is RethinkDB?
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Why do developers choose Badger ?
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What are the cons of using Badger ?
What are the cons of using RethinkDB?
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What tools integrate with Badger ?
High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.
Main database, using it in multiple datacenters in an active-active configuration.