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

• ✓Queries are reactive by default, so live-updating UI needs no subscription plumbing.
• ✓Backend functions are TypeScript sharing types with the frontend end to end.
• ✓Transactions and scheduling are built in, so background jobs need no extra service.

Tradeoffs

• ✗Not SQL, so analytics tools and reporting stacks do not plug straight in.
• ✗The programming model is proprietary, making a later migration a rewrite.
• ✗Complex relational queries are more awkward than in a relational engine.

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.