Multi-tenancy database patterns and strategies

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Multi-tenancy serves multiple customers from one application. I implement tenant isolation via schemas, databases, or row-level security. Shared schema with tenant_id column is simplest—good indexing essential. Separate schemas per tenant improves isolation, complicates migrations. Separate databases provide maximum isolation but expensive. Row-level security enforces automatic filtering. Understanding tenant data size guides strategy. Connection pooling per tenant prevents resource exhaustion. Tenant context must be set per request. Backup and restore strategies differ by approach. Proper multi-tenancy balances isolation, performance, operational complexity. Essential for SaaS applications, B2B platforms. PostgreSQL RLS makes shared-schema multi-tenancy secure and efficient.