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Multi-Tenancy in Spring Boot: Sharding vs. Schema Isolation
- Multi-tenancy in Spring Boot is vital for SaaS platforms serving multiple customers, allowing data isolation for each tenant.
- The article discusses two common multi-tenancy approaches: Schema-Based Isolation and Database Sharding.
- Schema-Based Isolation involves each tenant having a separate schema within the same database, enhancing data isolation.
- Implementation in Spring Boot includes using Hibernate Multi-Tenancy to switch schemas dynamically based on requests.
- Database Sharding, on the other hand, involves all tenants sharing a single database with partitioning by tenant-specific identifiers.
- Configuring a Hibernate Tenant Filter allows automatic filtering of query results based on the tenant_id in Database Sharding.
- Schema-Based Isolation provides strong data isolation but comes with operational overhead and potential scaling issues.
- Database Sharding offers scalability benefits but compromises on data isolation and may face performance bottlenecks.
- Choosing the right strategy depends on priorities; Schema-Based Isolation is ideal for isolation and compliance, while Database Sharding suits scalability and efficiency.
- Ultimately, the chosen multi-tenancy strategy should align with business requirements, compliance needs, and operational capacity.
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