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Learn MongoDB

Learn MongoDB

February 16, 2026
2 min read
Table of Contents

1. Introduction

MongoDB is a NoSQL document-oriented database that stores data in flexible JSON-like documents (BSON).

It is designed for scalability, flexibility, and high performance.

2. Key Concepts

Database -> Collections -> Documents

  • Database: Container
  • Collection: Group of documents
  • Document: JSON-like record

Example:

{
  "name": "Alice",
  "age": 25,
  "skills": ["Python", "SQL"]
}

3. Features

  • Schema-less
  • Horizontal scaling
  • Replication
  • Indexing
  • Aggregation framework

4. CRUD Operations

Insert

collection.insert_one({"name":"Alice"})

Find

collection.find({"age": {"$gt": 20}})

Update

collection.update_one(
  {"name":"Alice"},
  {"$set":{"age":26}}
)

Delete

collection.delete_one({"name":"Alice"})

5. Data Modeling

Two approaches:

  • Embedded documents
  • Referenced documents

6. Indexing

collection.create_index("name")

Improves read performance.


7. Aggregation Pipeline

Processes data in stages.

Example:

pipeline = [
  {"$match": {"age": {"$gt": 20}}},
  {"$group": {"_id": "$age", "count": {"$sum": 1}}}
]
collection.aggregate(pipeline)

8. Replication

Replica sets provide:

  • High availability
  • Automatic failover

9. Sharding

Distributes data across servers.

Used for big data scaling.


10. Transactions

Supported in modern MongoDB versions.


11. Security

  • Authentication
  • Authorization
  • Encryption

12. Use Cases

  • Content management
  • IoT data
  • Real-time analytics
  • Catalog systems

13. Advantages

  • Flexible schema
  • Easy scaling
  • Developer friendly

14. Limitations

  • Weaker joins
  • Higher storage usage