MongoDB Typical Use Cases

1. Website Data Storage

  • Real-time operations: Millisecond-level insert, update and query
  • Data replication: Built-in replication mechanism ensures high availability
  • Scalability: Achieves horizontal scaling through sharding technology

2. Caching System

  • High-performance cache
  • Persistence features
  • Overload protection

3. Gaming Scenarios

  • Uses document data model to store user information
  • User equipment, points and other data stored as embedded documents

4. Logistics Scenarios

  • Order document design uses nested structure
  • Logistics status stored as time series arrays
  • Implements transport route tracking combined with geospatial indexes

5. Social Scenarios

  • User documents contain basic information and social relationship data
  • Supports “people nearby” queries through 2dsphere geospatial indexes

6. IoT Scenarios

  • Device documents contain metadata and time series data arrays
  • TTL indexes automatically clean up expired data

7. Live Streaming Scenarios

  • User documents contain account information and interaction records
  • Gift data documents store gift metadata

Scenarios Suitable for MongoDB

  1. Scenarios requiring flexible data models
  2. High read/write throughput requirements
  3. Geolocation-related applications
  4. Content management systems
  1. Scenarios requiring complex transactions (financial systems)
  2. Highly normalized data
  3. Systems with strict schema requirements

Hybrid Use Cases

  • MongoDB: Stores user-generated content, logs and other unstructured data
  • Relational database: Handles core business data and financial data
  • Redis: Acts as caching layer