Badger vs Mongoose: What are the differences?
Developers describe Badger as "A new way of registering and managing your domains". Domain management you'll enjoy Domains effectively drive the entire internet, shouldn't they be easier to manage? We thought so, and thus, Badger was born! You shouldn't have to auction off your house and sacrifice your first born to transfer domains, you should be able to press a button that says "Transfer Domain" and be done with it. That is our philosophy, and we think you will appreciate it.
Stop letting domain registrars badger you, and start using... Badger!. On the other hand, Mongoose is detailed as "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 can be classified as a tool in the "Domain Registration" category, while Mongoose is grouped under "Object Document Mapper (ODM)".
Mongoose is an open source tool with 19K GitHub stars and 2.63K GitHub forks. Here's a link to Mongoose's open source repository on GitHub.
What is Badger?
What is Mongoose?
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I inherited a stack where Mongoose is used in the database layer.
It's been several months and it's still the single highest source of daily WT*s in my backend development. The API is full of irregularities and the design is a poor mix of object-orientation and stateful objects with a lot implicit behavior. Mongoose made the choices of taking the worst parts of ORMs and using them in a context where the benefits of ORMs don't apply. The only reason I'm keeping it is its handy
.populate() feature. Expect bad surprises!