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  1. Stackups
  2. Application & Data
  3. Databases
  4. Odm
  5. Mongoose vs Pouchdb

Mongoose vs Pouchdb

OverviewComparisonAlternatives

Overview

Mongoose
Mongoose
Stacks2.4K
Followers1.4K
Votes56
Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K

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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Detailed Comparison

Mongoose
Mongoose
Pouchdb
Pouchdb

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.

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.

-
Cross browser compatibility; Lightweight; Easy to learn; Open source
Statistics
GitHub Stars
-
GitHub Stars
17.5K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
2.4K
Stacks
148
Followers
1.4K
Followers
242
Votes
56
Votes
6
Pros & Cons
Pros
  • 17
    Several bad ideas mixed together
  • 17
    Well documented
  • 10
    JSON
  • 8
    Actually terrible documentation
  • 2
    Recommended and used by Valve. See steamworks docs
Cons
  • 3
    Model middleware/hooks are not user friendly
Pros
  • 2
    Offline cache
  • 1
    Free
  • 1
    Very fast
  • 1
    Repication
  • 1
    JSON
Integrations
Node.js
Node.js
MongoDB
MongoDB
No integrations available

What are some alternatives to Mongoose, Pouchdb?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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