multi-tenancy

Multi-tenant data isolation in PostgreSQL is achieved by evaluating row-level, schema-level, and database-level models to balance cost, scalability, and compliance. This strategy ensures tenant-aware queries and indexed tenancy keys to prevent cross-tenant data leakage.

Implement tenant routing by selecting and managing per-tenant connections alongside connection pooling strategies. This involves configuring your ORM to route database queries automatically based on tenant identification sources, ensuring strict data isolation across tenants.

Choose schema-level isolation over row-level isolation when your SaaS product requires stronger data separation and compliance-ready backup capabilities, at the cost of higher operational complexity. Row-level isolation is generally more cost-effective for smaller scale operations.

Manage multi-tenant schema migrations by enforcing migration isolation and per-tenant execution plans. This ensures that schema updates apply safely across isolated tenant databases or schemas without causing cross-tenant access issues or global downtime.

TypeORM can support per-tenant connections and tenant-aware queries by implementing specific routing patterns and connection pooling strategies. You must configure the ORM to dynamically select connections based on your application's tenant identification source.

Prevent cross-tenant data leakage by enforcing query scoping, indexing tenancy keys, and applying strict tenant routing. These safety measures ensure that all database operations remain strictly isolated within the correct tenant boundary.