Best Database for SvelteKit SaaS in 2026

Strengths

• ✓Real Postgres underneath, so extensions, SQL and standard tooling all apply.
• ✓Auth, storage and realtime included, which removes several vendor decisions at once.
• ✓Client libraries let simple apps query straight from the browser safely.

Tradeoffs

• ✗Querying from the client pushes authorization into policies that are easy to misconfigure.
• ✗The bundled services encourage coupling that is painful to untangle later.
• ✗Dashboard-driven changes can drift from what is in your migration files.

Strengths

• ✓Database branching gives every pull request a realistic copy of production data.
• ✓Compute scales to zero, so idle side projects cost almost nothing.
• ✓Plain Postgres wire protocol, so any existing driver or ORM connects unchanged.

Tradeoffs

• ✗Scale to zero means the first query after idle pays a cold start.
• ✗Storage and compute separation adds latency compared to a local disk.
• ✗It is only the database, so auth, storage and jobs stay your problem.

Strengths

• ✓Non-blocking schema changes reviewed like code before they hit production.
• ✓Vitess sharding means the growth path to very large tables already exists.
• ✓Deploy requests give schema migrations an approval workflow teams actually follow.

Tradeoffs

• ✗Foreign key constraints were historically restricted, which shapes how you model data.
• ✗MySQL rather than Postgres, so Postgres-specific extensions and types are unavailable.
• ✗Priced for real workloads, so small projects subsidise capacity they never use.

Strengths

• ✓Database per tenant is cheap, which makes hard isolation between customers practical.
• ✓Edge replicas put reads physically close to the user.
• ✓SQLite semantics are simple and identical to what you run in tests locally.

Tradeoffs

• ✗SQLite has one writer, so write-heavy workloads hit a ceiling by design.
• ✗Fewer data types and functions than Postgres, so some modelling gets manual.
• ✗Managing thousands of small databases becomes its own operational surface.