Supabase or Firebase for Your MVP? How We Choose in 2026

Supabase and Firebase do the same basic job. They give you a database, user login, file storage and server functions, so you don't have to run your own servers. For an MVP that can save weeks.

Under the hood, though, they're built very differently, and once your product has real users and real data, switching is painful. So it's worth getting this one right early.

We use Supabase for most of the MVPs we build, and Firebase for some consumer mobile apps. Here's how we decide.

SQL tables or documents

This is the difference everything else comes back to.

Supabase is built on PostgreSQL, the popular open-source database. Your data lives in tables that link to each other, and you ask questions of it with SQL.

Firebase's main database, Cloud Firestore, stores data as documents grouped into collections, a bit like nested JSON. Simple reads are fast and easy. Joining data together, totalling it up or filtering on several things at once is limited, and you often end up copying the same data into several places to make it work.

Here's where you feel it. Picture a B2B product with companies, users, projects and invoices. Pretty soon someone on your team asks:

"Can I see all overdue invoices for companies on the Pro plan, grouped by account manager?"

With Postgres, that's one SQL query. With Firestore, you either reshape and duplicate your data to support it, or you export everything into a separate analytics tool.

Feature by feature

Pricing, and where the surprises come from

Both have free tiers that are plenty for building and testing. The differences show up once you're live.

Supabase charges mostly for resources: database size, storage, bandwidth and compute. The Pro plan starts at $25 a month per organisation, with usage-based charges if you go over what's included. One thing to know: free projects pause after 7 days without activity, so move to Pro before you launch.

Firebase has a free Spark plan and a pay-as-you-go Blaze plan. Firestore charges for every document read, write and delete. That's cheap for simple apps, but it can jump fast if one screen loads hundreds of documents, a listener keeps re-reading data, or a bug gets stuck in a loop.

In our experience, Supabase bills are easier to predict for data-heavy B2B products. Firebase is very cheap for light mobile apps that don't store much.

Getting your data out later

This is the biggest long-term difference, and the one founders rarely think about at the start.

Supabase is open source and runs on standard Postgres. If you outgrow it or want to move, you can export your database with normal tools and run it on AWS, Google Cloud, Neon or your own server. Your SQL, your schema and most of your code come with you.

Firestore only exists on Google's platform. Moving off it means redesigning how your data is stored and rewriting the code that reads and writes it. That's not a reason to avoid Firebase. Just go in knowing that's the trade.

If your MVP has AI features

A lot of MVPs this year include some AI: smarter search, recommendations, or an assistant that answers questions from your own data. These usually need embeddings (a numeric fingerprint of each piece of content) stored next to the rest of your data.

With Supabase you get this through pgvector, so embeddings sit in the same Postgres database as your users and content. You can mix "find similar documents" with normal filters like "only ones this user is allowed to see" in a single query.

Firestore supports vector search too, and Firebase plugs into Google's Vertex AI. That works nicely if you're all-in on Google. If you want to mix models from different providers, Supabase is usually the simpler setup.

Mobile apps

This is where Firebase really shines. Cloud Messaging for push notifications, Crashlytics for crash reports, Remote Config for feature flags and Analytics all come built in and work well together.

With Supabase you'd add separate tools for these, for example Expo Notifications or OneSignal for push and Sentry for crash reports. It's a bit more setup, but each of those tools is very good at its job.

You also don't have to pick one platform for everything. A setup we like is Supabase for the database and login, plus Firebase Cloud Messaging just for push notifications.

What we usually pick

For most MVPs we build, especially B2B tools, marketplaces and anything with AI in it, we go with Supabase. The data is almost always relational, SQL makes reporting easy, pgvector covers AI search, and you're never locked in.

We reach for Firebase on consumer mobile apps where push notifications, analytics and offline behaviour matter most and the data is fairly simple.

If you're about to make this choice, our MVP team can look at your data model and suggest a stack on a short call.