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Badger

6
19
+ 1
0
Mongoose

2.1K
1.4K
+ 1
56
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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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Pros of Badger
Pros of Mongoose
    Be the first to leave a pro
    • 17
      Several bad ideas mixed together
    • 17
      Well documented
    • 10
      JSON
    • 8
      Actually terrible documentation
    • 2
      Recommended and used by Valve. See steamworks docs
    • 1
      Can be used with passportjs for oauth
    • 1
      Yeah

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    Cons of Badger
    Cons of Mongoose
      Be the first to leave a con
      • 3
        Model middleware/hooks are not user friendly

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      What is Badger ?

      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?

      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.

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      What companies use Badger ?
      What companies use Mongoose?
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      What tools integrate with Badger ?
      What tools integrate with Mongoose?
        No integrations found

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        What are some alternatives to Badger and Mongoose?
        Badger
        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!
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        See all alternatives