SQLite vs Postgres vs Supabase: Picking a Database for Solo Micro SaaS

You will abandon your micro SaaS long before you run out of database queries. Most solo software projects do not die because their database could not handle ten thousand writes per second; they die because the developer spent two weeks configuring connection poolers, fighting local migration drift, and wrangling authentication before making their first dollar.

When you build alone, operational overhead is your enemy. The database you pick needs to balance developer velocity today with minimal maintenance two years from now. Here is how SQLite, serverless Postgres, and Supabase actually stack up when you are the only person on pager duty.

SQLite is unbeatable until your app outgrows a single machine

Running SQLite locally is bliss. There are no Docker containers to spin up, no network latency between your application process and the data, and zero cloud credentials to rotate. Your entire database is a single file on disk.

For solo web apps hosted on a persistent single-server instance (like a basic VPS or Fly.io with attached storage), embedded SQLite with Litestream continuous replication to S3 gives you automatic backups for pennies a month. If you deploy to serverless platforms like Vercel, cloud-hosted SQLite providers like Turso let you keep the SQLite mental model over HTTP with a developer plan starting around $5 a month.

Where SQLite breaks down is not raw read speed—it easily handles millions of reads. It breaks down when you need concurrent writes from multiple stateless serverless instances, or when your product requires row-level security, rich JSON operations, and native background extensions. SQLite locks the file during writes. While WAL mode (Write-Ahead Logging) makes this fast, high-frequency concurrent write spikes will eventually throw busy errors.

Serverless Postgres solves connection pooling without bundling extras

Standard PostgreSQL has been the industry workhorse for decades, but traditional Postgres servers hate serverless functions. Every time a stateless function spins up in a Server Components setup, it opens a new TCP connection. Ten incoming requests can quickly exhaust a database's max connection pool.

Modern serverless Postgres providers like Neon solved this by putting connection pooling directly into their HTTP and WebSocket drivers. You get true Postgres power—enums, partial indexes, pgvector, rich aggregations—without managing PgBouncer yourself. Neon also introduces database branching, which lets you spin up a zero-copy clone of your production data for pull requests in seconds.

On pricing, serverless Postgres gives you pay-as-you-go flexibility. The free tier covers prototypes (with compute scaling to zero after inactivity), while paid usage scales with active compute hours and stored gigabytes. (Check current rates on their pricing pages before budgeting, as unit costs shift periodically). If you already have your own auth library (like Lucia or NextAuth) and just want a clean SQL database that never blocks writes, standalone serverless Postgres is the cleanest middle ground.

Supabase saves weeks by treating Postgres as a full platform

Supabase is not just a database; it is a full Backend-as-a-Service built on top of dedicated Postgres. With one signup, you get the database, user authentication, row-level security (RLS), file storage, and auto-generated REST and GraphQL endpoints.

If you are building an MVP from scratch—like the rapid builds in my weekend micro SaaS ideas breakdown—Supabase eliminates half the boilerplate. You do not have to write custom user session tables or configure S3 buckets for avatar uploads. You write your security policies directly in SQL using RLS, and your frontend or server components can interact with the database safely.

The trade-off is architectural coupling and vendor-specific ergonomics. RLS policies can get tricky to debug as your permission rules become complex. In terms of costs, Supabase offers a free tier (usually capped around 500 MB storage and pausing after a week of inactivity), while the Pro plan starts around $25 per month per project. As I broke down in my audit of what I actually pay to run a web business, a $25 base fee per project adds up fast if you run five small experiments at once.

Where each option hits its real-world limits

Every tool comes with an operational friction point that the landing page leaves out:

1. Local SQLite / Turso: Hits a wall when you need complex relational permissions, multiple background workers writing heavy telemetry concurrently, or native database integrations with third-party SaaS tools.
2. Serverless Postgres (Neon): Cold starts on idle branches can add a noticeable half-second delay on the first query after scaling down to zero. You also still need to build or assemble your own authentication and asset storage.
3. Supabase: Can tempt you to write business logic inside database triggers and RLS policies, making migrations harder to test in automated local pipelines. Stacking several idle micro SaaS projects on paid plans gets expensive quickly.

The one-paragraph decision rule

If your micro SaaS runs on a single VPS or handles read-heavy workloads with light writes, use SQLite with Litestream for maximum speed and rock-bottom costs. If your app uses serverless functions, requires heavy background write jobs, or already has custom auth, pick serverless Postgres (Neon). If you are starting from a blank directory, need user authentication and file storage out of the box, and want to ship before Sunday night, pick Supabase and upgrade to the paid plan once customers start paying.