Multiple Datasources

Why Multiple Datasources Matters

Spring Boot supports multiple DataSource configurations for applications requiring separate databases (read/write replicas, multi-tenant). In production systems with primary database + analytics warehouse + audit database, multiple datasources eliminate connection string hardcoding—configuring multiple JPA EntityManagers with independent transaction managers for data isolation.

Problem: Single DataSource insufficient for read replicas, multi-tenant, or microservice data isolation.

Solution: Spring Boot @Primary DataSource + custom @Qualifier configurations.

Implementation Example

// Implementation details for multiple-datasources
// See full guide for comprehensive examples

Production Configuration

# Configuration for multiple-datasources
# See full guide for detailed configuration

Production Patterns

Best Practices:

• Follow Spring Boot conventions
• Test in staging before production
• Monitor metrics and health checks
• Use environment-specific configuration

Trade-offs

Production recommendation: Use Spring Boot auto-configuration as default. Manual configuration only for edge cases.

Next Steps

• See related in-the-field guides for comprehensive production patterns