← Back to Playground

Microservices Architecture Pattern Comparison

Service Data Ownership & Independence

Compare how MongoDB and PostgreSQL support microservices architecture, examining service autonomy, data isolation, and independent scaling approaches.

🔍 Key Microservices Differences

MongoDB's flexible schema and built-in scaling support service autonomy naturally, while PostgreSQL's relational constraints can create dependencies between services.

🍃 MongoDB Microservices Architecture

Database-per-Service Pattern: Each microservice owns its MongoDB database with complete schema autonomy, enabling independent evolution and scaling.
  • Service Autonomy: Each service owns and controls its data model
  • Schema Freedom: Independent schema evolution without migrations
  • Built-in Scaling: Native sharding and replication per service
  • Fault Isolation: Database failures don't cascade across services
  • Flexible Data: Each service can store different document structures
MongoDB Microservices Architecture
Service Independence

True service autonomy with minimal dependencies

🐘 PostgreSQL Microservices Architecture

Relational Service Boundaries: PostgreSQL microservices require careful schema coordination, migration planning, and often shared database patterns for complex relationships.
  • ACID Guarantees: Strong consistency within service boundaries
  • SQL Standards: Familiar query language across services
  • Referential Integrity: Foreign key constraints within services
  • Mature Tooling: Rich ecosystem for monitoring and management
  • Transaction Safety: Reliable cross-table operations
User Service
PostgreSQL DB
users, profiles tables
Order Service
PostgreSQL DB
orders, items tables
Cross-Service Challenges
Schema Migrations
Shared References
Join Dependencies

Coordination required for schema changes across services

Schema Coordination

Requires careful planning for service interactions

⚡ Microservices Implementation Comparison

MongoDB Advantages:
  • • True service data ownership and autonomy
  • • No schema migration coordination needed
  • • Independent scaling per service
  • • Natural document boundaries match service domains
PostgreSQL Challenges:
  • • Schema changes require service coordination
  • • Relational boundaries don't align with services
  • • Complex data modeling for service independence
  • • Operational overhead of multiple instances
Microservices Architecture
See PostgreSQL Comparison
Zoomed Architecture Diagram