Badger vs Mongoose: What are the differences?
What is Badger ? 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.
What is Mongoose? MongoDB object modeling designed to work in an asynchronous environment. Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
Badger belongs to "Databases" category of the tech stack, while Mongoose can be primarily classified under "Object Document Mapper (ODM)".
Badger and Mongoose are both open source tools. It seems that Mongoose with 19K GitHub stars and 2.63K forks on GitHub has more adoption than Badger with 6.14K GitHub stars and 431 GitHub forks.
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