1. Definition

The Embedded Data Model in MongoDB is a way of storing related data within a single document by nesting documents inside one another. It is also called denormalized data model.

2. When to Use

• When data is closely related
• When you need fast read operations
• When data is frequently accessed together
• When relationships are simple (one-to-few)

3. Where it is Used

• User profiles with address details
• E-commerce orders with product details
• Blog posts with comments
• Applications with nested data structures

4. Why We Use It

• Reduces the need for joins
• Improves read performance
• Stores related data together
• Simplifies data retrieval

5. How It Works

• Data is stored as nested documents
• Arrays can hold multiple sub-documents
• Everything is stored inside a single parent document
• No need to reference other collections

Basic Syntax

{
  name: "Manaswini",
  address: {
    city: "Bhubaneswar",
    country: "India"
  }
}

Real Example

{
  name: "Manaswini",
  orders: [
    {
      product: "Laptop",
      price: 50000
    },
    {
      product: "Phone",
      price: 20000
    }
  ]
}

6. Explanation

• Related data is stored inside one document
• Uses nested objects and arrays
• Improves read performance
• No need for joins like SQL

7. Advantages

• Fast data retrieval
• Reduced database queries
• Simple structure for related data
• Better performance for read-heavy apps

8. Disadvantages

• Data duplication may occur
• Large document size can affect performance
• Harder to update deeply nested data