What is the Database-per-Service pattern?

Microservices architecture pattern where each service owns its database. Services interact through APIs without directly accessing each other's databases.

Key aspects:

• Data encapsulation: Each service fully controls its data.
• Deployment independence: Services and their databases can be deployed independently.
• Technology choice: A service can use the most suitable DBMS for it.

Advantages:

• Increased fault tolerance.
• Simplified scaling of individual services.
• Flexibility in technology selection.

Disadvantages:

• Difficulties in implementing end-to-end queries and atomic transactions involving multiple services.
• The need to implement data synchronization mechanisms or use patterns like Saga.