The Many-Database Architecture: Should You Give Every Tenant Their Own Database?

Multi-tenant SaaS applications commonly use a shared schema with tenant IDs and row-level security, separate schemas on one server, or a dedicated database for each tenant, with each model balancing simplicity, cost, isolation, and operational burden differently. Shared schemas are efficient for similar low-regulation workloads and centralized analytics but rely on correctly enforced logical isolation, while schema-per-tenant adds migration and tooling complexity without fully separating infrastructure. Database-per-tenant provides structural isolation, simpler tenant-specific backup, deletion, exports, and regional placement, making it attractive for regulated industries and enterprise security reviews, though it requires robust request routing, monitoring, and separate cross-tenant analytics pipelines. The article argues that SQLite-based platforms such as Turso reduce the historical expense of operating many databases by making idle databases storage-only and automating provisioning, token scoping, and teardown, citing deployments with thousands or millions of isolated databases. It recommends shared schemas with tested RLS for early or less regulated products, dedicated databases for customers requiring stronger isolation or data controls, and hybrid approaches for serving both smaller and enterprise tenants.

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