Multi-tenancy at Scale: How to Give Every User Their Own Database

Database-per-tenant architectures have traditionally been discouraged because server-based databases such as PostgreSQL and MySQL impose per-instance costs, connection-pooling limits, and substantial backup overhead, making thousands of isolated databases expensive to operate. The piece argues that file-based SQLite databases, particularly through Turso Cloud, change these economics by allowing inexpensive, programmatically created databases with no idle process or reserved memory, making individual tenant databases more practical. It highlights stronger inherent data isolation than tenant_id filtering and row-level security, along with potential benefits for compliance, encryption key management, regional data residency, data export, and deletion requests. The proposed implementation uses a central tenant registry, request routing to the appropriate database, and template-based provisioning for new tenants. However, the approach introduces challenges around coordinating schema migrations and producing cross-tenant analytics, which may require aggregation pipelines or a dedicated data warehouse. It is presented as most suitable for enterprise SaaS, regulated industries, residency-sensitive applications, and products requiring portable tenant data, while shared databases may remain preferable for massive consumer applications, real-time cross-tenant reporting, and mature systems already built around a shared schema.

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