Why MongoDB for Enterprise?

MongoDB's flexible schema works well for applications that need to evolve over time. Enterprise systems often face changing requirements.

Schema Design

const orderSchema = new Schema({
  customerId: ObjectId,
  items: [{
    productId: ObjectId,
    quantity: Number,
    price: Number,
  }],
  status: String,
  timestamps: true,
});

Indexing Strategy

Proper indexes are crucial for performance:

db.orders.createIndex({ customerId: 1, createdAt: -1 });
db.orders.createIndex({ status: 1, createdAt: -1 });

Aggregation Pipelines

Complex queries are handled elegantly:

db.orders.aggregate([
  { $match: { status: 'completed' } },
  { $group: { _id: '$customerId', total: { $sum: '$total' } } },
  { $sort: { total: -1 } },
]);

Data Integrity

Even with flexible schemas, data integrity matters:

• Mongoose validation
• Business logic in application layer
• Database-level constraints where needed

When Not to Use MongoDB

• Highly relational data (use PostgreSQL)
• Strong transactional needs (MongoDB transactions exist but have overhead)
• Fixed, well-defined schemas