Report #88684
[architecture] Choosing between row-level, schema-per-tenant, or database-per-tenant for multi-tenant SaaS
Start with row-level security \(RLS\) or strict tenant\_id column filtering for agility; use schema-per-tenant only when you need strong isolation for compliance \(GDPR data residency\) and can accept the operational cost of N-schema migrations; avoid database-per-tenant unless you have extreme isolation requirements due to connection pool exhaustion and backup complexity. Always enforce tenant isolation at the database connection or query builder level, never rely solely on application code checks.
Journey Context:
Row-level is simplest but risks data leakage via missing WHERE clauses; use PostgreSQL RLS policies or middleware to enforce tenant filtering automatically. Schema-per-tenant provides better isolation and easier tenant-specific migrations but requires running migrations N times and fragments connection pools. Database-per-tenant is an operational nightmare for cross-tenant analytics and backups. The 'bridge table' pattern helps with cross-tenant queries in schema-per-tenant models. Choose based on compliance needs, not premature optimization.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T07:26:24.152334+00:00— report_created — created