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Mongoose

2.1K
1.4K
+ 1
56
Pouchdb

146
241
+ 1
6
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Mongoose vs Pouchdb: What are the differences?

Developers describe Mongoose 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. On the other hand, Pouchdb is detailed as "Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser". PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

Mongoose can be classified as a tool in the "Object Document Mapper (ODM)" category, while Pouchdb is grouped under "Databases".

Mongoose and Pouchdb are both open source tools. Mongoose with 19K GitHub stars and 2.63K forks on GitHub appears to be more popular than Pouchdb with 12.1K GitHub stars and 1.21K GitHub forks.

PedidosYa, Accenture, and WebbyLab are some of the popular companies that use Mongoose, whereas Pouchdb is used by BrightMachine, Greenkeeper, and SearchBookGo, LLC.. Mongoose has a broader approval, being mentioned in 88 company stacks & 92 developers stacks; compared to Pouchdb, which is listed in 8 company stacks and 9 developer stacks.

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Pros of Mongoose
Pros of Pouchdb
  • 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
  • 2
    Offline cache
  • 1
    JSON
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication

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Cons of Mongoose
Cons of Pouchdb
  • 3
    Model middleware/hooks are not user friendly
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    - No public GitHub repository available -

    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.

    What is Pouchdb?

    PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Mongoose?
    What companies use Pouchdb?
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    What tools integrate with Mongoose?
    What tools integrate with Pouchdb?

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    Blog Posts

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    Jun 19 2015 at 6:37AM

    ReadMe.io

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    What are some alternatives to Mongoose and Pouchdb?
    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.
    Anaconda
    A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
    Python
    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
    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.
    See all alternatives