Three Multi-Tenancy Models
1. Database-per-Tenant
Each customer gets an isolated database.
Pros: Maximum data isolation, easy per-tenant backup/restore, compliance-friendly
Cons: Higher infrastructure cost, complex schema migrations across hundreds of DBs
Best for: Healthcare, finance, enterprise with strict compliance
2. Schema-per-Tenant
Single database, separate PostgreSQL schema per tenant.
Pros: Good isolation, moderate cost, easier than separate databases
Cons: Connection pooling complexity, schema migration at scale
Best for: Mid-market B2B SaaS with 50–500 tenants
3. Shared Schema (Row-Level)
All tenants in one schema with tenant_id column on every table.
Pros: Lowest cost, simplest operations, fastest development
Cons: Risk of data leaks if queries miss tenant filter, noisy neighbor performance
Best for: SMB SaaS, high tenant count, lower compliance requirements
The #1 Rule
Whatever model you choose, enforce tenant isolation in middleware — never rely on developers remembering tenant_id in every query.
Decision Framework
| Factor | DB-per-tenant | Schema-per-tenant | Shared schema |
|---|---|---|---|
| Compliance (HIPAA, SOC2) | Best | Good | Requires care |
| Cost at 1000+ tenants | High | Medium | Low |
| Dev speed | Slow | Medium | Fast |
| Migration complexity | High | Medium | Low |
SinghJi Tech architects multi-tenant SaaS correctly from day one. [SaaS development](/services/saas-development-company) | [Multi-tenant platform solution](/solutions/build-multi-tenant-saas-platform).
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