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MongoDBDatabase

A source-available cross-platform document-oriented NoSQL database program.

Popularity
83%
Market Share
13.5%
Community
87%
Performance
88%
Founded: 2009
Creator: MongoDB Inc.
Learning: Easy to Moderate
Technologies
MongoDB

Overview

MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas.

83%
Popularity
13.5%
Market Share
87%
Community
88%
Performance

Getting started

Prerequisites

Before getting started with MongoDB, ensure you have basic knowledge of database development.

Install MongoDB, learn basic CRUD operations, understand document structure, and connect to your application.

Key features

Document-oriented
Flexible Schema
Scalability
High Performance
Rich Query Language
Horizontal Scaling

Use cases

1

Content Management

Ideal for building scalable and efficient content management solutions.

2

Mobile Apps

Ideal for building scalable and efficient mobile apps solutions.

3

Real-time Analytics

Ideal for building scalable and efficient real-time analytics solutions.

4

IoT Applications

Ideal for building scalable and efficient iot applications solutions.

5

Product Catalogs

Ideal for building scalable and efficient product catalogs solutions.

6

User Profiles

Ideal for building scalable and efficient user profiles solutions.

Pros and cons

Advantages

  • Flexible schema
  • Horizontal scaling
  • Rich queries
  • High performance
  • Strong community
  • Document model

Disadvantages

  • No joins
  • Memory usage
  • Less mature than SQL
  • Transaction limitations

Who's using MongoDB

MongoDB is trusted by industry leaders and innovative companies worldwide.

Google
Facebook
Adobe
eBay
Cisco
Verizon
SAP
Toyota

Ecosystem

MongoDB ecosystem includes Atlas cloud service, Compass GUI, BI Connector, and various drivers for different programming languages.

Best practices

Do's

  • Follow official documentation and guidelines
  • Implement proper error handling and logging
  • Use version control and maintain clean code
  • Write comprehensive tests for your applications
  • Keep dependencies updated and secure

Don'ts

  • Don't ignore security best practices
  • Don't skip testing and code reviews
  • Don't hardcode sensitive information
  • Don't neglect performance optimization
  • Don't use deprecated or outdated features

Design proper document structure, implement indexing, follow security best practices, monitor performance, and implement proper backups.

Get expert consultation

Connect with our MongoDB specialists to discuss your project requirements