MongoDB vs CouchDB

Struggling to choose between MongoDB and CouchDB? Both products offer unique advantages, making it a tough decision.

MongoDB is a Development solution with tags like nosql, document-database, open-source.

It boasts features such as Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability and pros including Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

On the other hand, CouchDB is a Development product tagged with nosql, json, documentoriented, scalable.

Its standout features include Document oriented database, JSON document storage, JavaScript as query language, MapReduce for aggregation, Master-master replication, RESTful API, and it shines with pros like High availability, Easy horizontal scalability, Schema-less, JSON data model, Powerful query capabilities.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

MongoDB

MongoDB

MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Categories:
Development Databases
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

Pros

Flexible schema

High performance

Easy scalability

Rich query capabilities

High availability

Cons

No transactions

No joins

Limited query flexibility compared to SQL

Steep learning curve

CouchDB

CouchDB

CouchDB is an open-source NoSQL document-oriented database that focuses on ease of use and scalability. It uses JSON documents and JavaScript as its query language, allowing you to store, access, and manage data in a simple yet flexible way.

Categories:
Development Databases
nosql json documentoriented scalable

CouchDB Features

  1. Document oriented database
  2. JSON document storage
  3. JavaScript as query language
  4. MapReduce for aggregation
  5. Master-master replication
  6. RESTful API

Pricing

  • Open Source

Pros

High availability

Easy horizontal scalability

Schema-less

JSON data model

Powerful query capabilities

Cons

Not suitable for complex transactions

Limited query flexibility compared to SQL

Steep learning curve