PocketBase vs Supabase: which backend should an indie project use?

What are PocketBase and Supabase?

PocketBase is an open-source backend in a single Go executable under the MIT licence. It bundles an embedded SQLite database, user authentication, file storage, realtime subscriptions, a REST-style API and an admin dashboard. You download one file, run it and you have a backend.

Supabase is an open-source Firebase alternative built around PostgreSQL, under the Apache 2.0 licence. It combines Postgres with auto-generated APIs, authentication, storage, realtime, edge functions and a dashboard, offered as a managed cloud or self-hosted with Docker.

Both give indie developers a backend without writing one from scratch. The difference is weight: PocketBase is deliberately tiny, Supabase is a platform.

Both come with client SDKs for JavaScript and other languages, so your frontend code talks to the backend in a similar way. The real differences emerge in operations, data modeling and how authorization is expressed.

How do PocketBase and Supabase compare?

Why do indie developers love PocketBase?

Operations nearly disappear. There is one process to run, one directory to back up and no separate database server. A small VPS can host many PocketBase apps side by side.

SQLite in WAL mode is fast for read-heavy apps and handles more traffic than many people expect on a single machine. Backups can be as simple as snapshotting the data directory, and PocketBase includes backup tooling in its dashboard.

It is also embeddable. You can import PocketBase as a Go library and build your own backend around it, adding routes and business logic in one compiled binary.

The admin dashboard makes it approachable for non-developers too. Editing records, managing users and adjusting collection rules happen in a browser, which is handy when a client or teammate needs to fix data without touching code.

Collections can be defined in the dashboard and captured as migrations, so schema changes can still live in version control once the project gets serious.

For a solo builder, that simplicity compounds: fewer services to monitor, fewer credentials to rotate and fewer things to explain when you hand the project to someone else.

Why choose Supabase instead?

Postgres is the reason. You get joins, views, transactions, full-text search, a huge extension ecosystem and decades of tooling. When your data model grows, SQL grows with it.

Row Level Security puts authorization inside the database, so every API path follows the same rules. pgvector adds embeddings and similarity search for AI features, which many indie SaaS products now need.

The managed cloud removes operations entirely, and self-hosting remains possible if you want to leave. The trade-off is that self-hosting Supabase means running several services, which is far more work than one PocketBase binary.

Supabase’s ecosystem is broad: many starter kits, framework guides and tutorials assume it, and AI coding tools tend to know its APIs well. For an indie developer, that means less time stuck on undocumented edge cases.

Because the database is plain Postgres, you can connect any SQL client, analytics tool or ORM, and you can leave for any Postgres host with a standard dump if the platform stops fitting.

Which should you choose?

Neither choice is a trap. Both are open source, both store data in standard formats you can export, and both have active communities. Pick the one that lets you ship this month, and plan the exit you would take if it stopped fitting.

• Weekend project, prototype or personal tool: PocketBase.
• Internal tool for a small team on one server: PocketBase.
• SaaS you hope to grow, with relational data and reporting: Supabase.
• AI product needing embeddings, RAG or semantic search: Supabase with pgvector.
• You want zero server management: Supabase cloud.
• You want to self-host on a cheap VPS with minimal moving parts: PocketBase.
• You need strict, auditable authorization rules: Supabase with Row Level Security.

How to decide in five questions

If most answers point to modest scale, one operator and a simple data model, PocketBase will likely make you faster. If several answers point to growth, SQL needs or a team, Supabase is the safer long-term base.

Write your answers down. Revisiting them in six months, with real usage data, is the easiest way to know whether it is time to migrate.

• Will write traffic stay modest, or could many users write at once? SQLite serializes writes.
• Will you need SQL features such as complex joins, reporting or extensions?
• Who will operate the backend at 3 a.m. when something breaks?
• Do you need horizontal scaling or multiple regions within a year?
• How much do you value being able to move hosting providers without friction?

Common mistakes when picking an indie backend

Both platforms reward reading the documentation on access rules before launch. Most real-world data leaks on either come from permissive rules, not from bugs in the platform itself.

• Choosing Supabase self-hosted for a tiny app, then spending more time on containers than features.
• Choosing PocketBase for a write-heavy multi-tenant SaaS and hitting single-writer limits.
• Forgetting that PocketBase has not reached a 1.0 release, so read the changelog before upgrades.
• Leaving Supabase tables without Row Level Security policies, which can expose data through the public API.
• Never testing a restore on either platform.

Where each backend breaks

PocketBase breaks when one server is not enough: heavy concurrent writes, strict high-availability needs or multiple regions. Migrating from SQLite to Postgres later is possible, but it is a real project, so be honest about growth plans.

Supabase breaks for indie budgets when self-hosting complexity or managed usage costs outpace the product’s revenue, and when developers treat it like a black box instead of learning Postgres. Learn RLS and indexes early and it scales with you.

A pragmatic path many builders take: prototype on PocketBase to validate the idea quickly, then move to Supabase once there are paying users and a clear data model.

Whichever you choose, keep business rules on the server, keep a schema history in version control and automate backups from day one. Those habits make any later move far less painful.

How much does each cost to run?

PocketBase costs only the server it runs on, and a very small VPS is often enough. Supabase self-hosted also costs only servers, but needs more memory for its services. Supabase cloud has a free tier and paid plans; check its pricing page for current limits.

In both cases your time is the largest cost. PocketBase minimizes operations time, Supabase cloud minimizes it further for a fee, and Supabase self-hosted maximizes control at the price of the most maintenance.

Storage and bandwidth for user uploads can outgrow database costs on either platform, so estimate file volume early and consider an S3-compatible bucket with a CDN when media is central to the product.

Frequently asked questions

Can PocketBase handle production traffic?

Yes, for many small and medium apps. SQLite handles substantial read traffic on one machine, and PocketBase is efficient. The limits are concurrent writes, single-server availability and vertical-only scaling. For side projects, internal tools and early SaaS it is often plenty.

Is Supabase hard to self-host?

It is more involved than PocketBase. The official Docker setup runs Postgres plus several services for auth, APIs, storage, realtime and the dashboard. It works well, but you own upgrades, backups and security for all of them, so many indie developers use the managed cloud instead.

Can I migrate from PocketBase to Supabase later?

Yes, but plan it as a project. You export SQLite data, map collections to Postgres tables, rewrite access rules as Row Level Security policies and move users, which may require password resets depending on hashing. Keeping business logic out of the client makes migration easier.

Which is better for AI features?

Supabase, in most cases. The pgvector extension gives you embeddings storage and similarity search inside Postgres, which suits RAG and semantic search. With PocketBase you would typically add a separate vector database or call an external service for AI retrieval.