Multi-Tenant Database Architecture for SaaS: PostgreSQL vs MongoDB for Scale

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Multi-Tenant Database Architecture for SaaS: PostgreSQL vs MongoDB for Scale

Designing the database layer for a multi-tenant B2B SaaS application is one of the most critical architectural decisions a technical founder will make. Choosing the wrong isolation model can lead to catastrophic data leaks, noisy-neighbor performance degradation, or prohibitive cloud hosting bills.

Multi-Tenant Database Architecture for SaaS: PostgreSQL vs MongoDB for Scale

The 3 Multi-Tenancy Patterns Compared

  • Database-per-Tenant: Maximum compliance and data isolation, ideal for enterprise healthcare and banking clients. Higher operational overhead when managing thousands of databases.
  • Schema-per-Tenant (PostgreSQL): Strong logical isolation with shared physical resources. Clean migration paths and simplified maintenance.
  • Shared Table with Row-Level Security (RLS): Maximum resource utilization and lowest hosting costs. PostgreSQL native RLS guarantees that tenant queries are cryptographically partitioned at the database engine level.

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