MongoDB is a NoSQL database designed for scalability, flexibility, and performance. Unlike traditional relational databases (like MySQL or PostgreSQL), MongoDB stores data in JSON-like documents called BSON (Binary JSON). This document model makes it ideal for working with dynamic or semi-structured data.

 Key Concepts

 Features of MongoDB

• Schema-less: Each document in a collection can have a different structure.

• Scalable: Horizontal scalability via sharding.

• High Performance: Fast read and write operations.

• Rich Query Language: Supports powerful and flexible queries.

• Geospatial, Full-Text Search & Aggregation Framework

 Example: A MongoDB Document

{
  "_id": "507f1f77bcf86cd799439011",
  "name": "Unyime",
  "email": "unyime@example.com",
  "skills": ["JavaScript", "Python", "MongoDB"],
  "profile": {
    "bio": "Full-stack developer",
    "active": true
  }
}

 Basic MongoDB Commands

 Use Cases

• Content management systems

• Real-time analytics

• IoT applications

• Mobile apps

• E-commerce platforms

 Tools & Ecosystem

• MongoDB Atlas: Fully managed cloud database

• Compass: GUI for interacting with MongoDB

• Mongoose: ODM (Object Data Modeling) for MongoDB in Node.js

• Mongo Shell: CLI for interacting with databases

 Conclusion

MongoDB is a modern, document-oriented database built for today's applications that require fast, flexible, and scalable data handling. It is widely used in full-stack development, particularly with the MERN stack (MongoDB, Express, React, Node.js).