DB-per-tenant became economical.
Building a SaaS where each customer gets data isolation. Turso lets us spin up a database per customer for cents. Architecturally cleaner than schema-per-tenant in shared Postgres.
Edge-replicated SQLite for low-latency reads everywhere
Turso runs libSQL (SQLite fork) at the edge — your database lives in 30+ regions and reads happen wherever the user is. Per-database costs are tiny, so multi-tenant patterns (one DB per customer) become economical. Trade-off: writes go to a single primary, no horizontal write scale. Best for read-heavy edge apps, multi-tenant SaaS where each tenant gets isolation, and embedded SQLite users wanting cloud sync.
DB-per-tenant became economical.
Building a SaaS where each customer gets data isolation. Turso lets us spin up a database per customer for cents. Architecturally cleaner than schema-per-tenant in shared Postgres.
Reads at the edge are the moat.
Our app needs sub-50ms reads globally. Turso's edge replicas hit this. Postgres + read replicas was 5x more complex.
Embedded replica for desktop apps is genius.
Built a desktop app with a local libSQL DB that syncs to Turso cloud. Offline-first works. Can't do this with Postgres or MySQL.
Methodology
Every review on this page is verified through GitHub OAuth and weighted by reviewer credibility, use-case match, and conflict-of-interest disclosure. Aggregate scores combine with recency decay so rankings reflect current reality. Read full methodology →