Firebase vs Supabase: Which One Should You Actually Use? (2026)

The App I Built on Firebase and Couldn’t Get Off Of

It was 2022. I was building a mobile app — one of the many things I’ve started and not finished — and I did what every tutorial, every YouTube video, every Stack Overflow answer told me to do. I reached for Firebase.

And honestly? It was glorious. Auth in an afternoon. Push notifications that just worked. A database that synced to my app in real time without me writing a single line of websocket code. For a mobile developer in 2022, Firebase wasn’t a choice — it was the choice. It felt like cheating.

Then, months later, I wanted to build a proper analytics dashboard for that app’s data. Which meant I needed to query it. And that’s when I discovered the trap I’d walked into with my eyes closed: my data lived in Firestore, Google’s NoSQL document store. There were no joins. No GROUP BY. No SQL at all. To get a report I could’ve written in ten seconds against a Postgres table, I was writing loops that fanned out into thousands of document reads — each one a fraction of a cent, all of them adding up.

I wasn’t locked in by a contract. I was locked in by my own data model. And getting out meant rewriting how the entire app stored everything.

That’s the story of Firebase vs Supabase in one paragraph. So let me give you the honest version — what each one actually is, how they price you, and the one question that decides it.

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Two Very Different Animals Wearing the Same Costume

On the surface, they look like twins. Both are “backend-as-a-service” — you sign up, and out of the box you get a database, authentication, file storage, realtime updates, and serverless functions. No servers to rent, no auth to build badly, no S3 bucket to configure. That’s the pitch, and both deliver it. (Both also hand you modern logins — if you’re wondering whether to offer passkeys instead of passwords, that’s a quick read.)

But underneath, they’re built on opposite philosophies.

Firebase is Google’s proprietary platform, born mobile-first. Its heart is Firestore, a NoSQL document database. You don’t have tables and rows — you have collections and documents, blobs of JSON that sync to phones in real time and work offline. It’s been around since 2011 (Google bought it in 2014), it’s battle-tested at absurd scale, and the whole thing is welded to Google Cloud. It is closed-source. You use it Google’s way, on Google’s servers, forever.

Supabase is the open-source answer, born database-first. Its heart is PostgreSQL — real, actual Postgres, the boring relational workhorse this whole blog is a little religious about. Everything else (auth, storage, realtime, the auto-generated API) is a layer of open-source tooling wrapped around that Postgres core. It launched in 2020 explicitly as “the open-source Firebase alternative,” and you can run the entire stack on your own hardware if you ever want to.

One is a walled garden with an incredible gardener. The other is a pile of well-organized open-source parts you own outright. Keep that in your head, because everything below flows from it.

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Feature by Feature: They’re Closer Than You’d Think

Here’s the uncomfortable truth for anyone who wants a clean winner: on raw features, these two are neck and neck. Both cover the four things a solo founder actually needs.

Piece	Firebase	Supabase
Database	Firestore (NoSQL docs) + Realtime DB	Postgres (SQL, relational)
Auth	Email, social, phone, anonymous	Email, magic links, social, phone
Storage	Cloud Storage (S3-backed)	S3-style buckets with row-level rules
Realtime	Native, best-in-class, offline sync	Postgres change subscriptions over websockets
Functions	Cloud Functions (Node, Python, more)	Edge Functions (Deno/TypeScript)

Where Firebase genuinely wins is realtime and mobile. Firestore’s live sync and offline-first caching are still the best in the business — if you’re building a chat app, a collaborative tool, or anything on iOS/Android where the phone goes through tunnels and needs to catch up gracefully, Firebase has a decade of polish you won’t easily match. Its SDKs for mobile are gorgeous.

Where Supabase genuinely wins is querying and structure. Because it’s Postgres, you get joins, transactions, foreign keys, pgvector for AI features, full-text search, and every SQL trick you already know. You can point it at your tables and it hands you a REST and GraphQL-ish API for free. And critically — that data model is a standard one that thousands of other tools understand.

The dirty secret is that for a typical CRUD SaaS — users, subscriptions, some records, a dashboard — either one will do the job fine. The feature sheet won’t save you from the decision. The pricing and the lock-in will make it for you.

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The Pricing Models Are Where It Gets Real

This is the part that separates the tourists from the people who’ve been burned. Firebase and Supabase don’t just charge different amounts — they charge on completely different axes, and that difference is the whole game.

Firebase charges per operation. On the free Spark plan you get a genuinely generous daily allowance: 50,000 Firestore reads, 20,000 writes, and 20,000 deletes per day, 1 GiB stored, 2 million Cloud Functions calls a month, and social/email auth up to 50,000 monthly active users. That’s plenty to launch. But the moment you cross onto the pay-as-you-go Blaze plan, you’re billed for every single read and write: roughly $0.06 per 100,000 reads, $0.18 per 100,000 writes, $0.02 per 100,000 deletes, and $0.26 per GB stored.

Sounds trivial. It isn’t. Because NoSQL forces you to read documents, a single dashboard that would be one SQL query becomes thousands of reads, and those reads compound with every user. Google’s own 2026 billing example pegs a 5,000-daily-active-user app at about $12/month — fine — but scale that same pattern to 50,000 daily users and it’s roughly $134/month. And that number is unpredictable, because it moves with how chatty your app is, not how big your data is. I’ve read enough horror threads about surprise Firebase bills to last a lifetime. (The same “billed per unit of activity” anxiety is exactly why I obsess over what it actually costs to run a SaaS before I write a line of product code.)

Supabase charges a flat fee plus usage. The free tier gives you a 500 MB database, 50,000 monthly active users, 1 GB file storage, 5 GB egress, 500K edge-function calls, and up to 2 active projects. When you outgrow it, the Pro plan is a flat $25/month per project — 8 GB database, 100 GB storage, 100K users — with usage-based overages only above those limits. You know your number in advance. There’s no “my API got hammered and now I owe $400” scenario baked into the model.

One honest caveat on the free tier: Supabase pauses your project after 7 days of no activity, which is a real landmine for the graveyard-of-experiments founder. I wrote a whole piece on that gotcha and every other limit in the Supabase free tier guide — read it before you rely on the free plan for anything you’re trying to get in front of users.

The pattern: Firebase’s bill scales with activity and can spike; Supabase’s bill scales with resources and stays boring. For a broke founder, boring is a feature.

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The Lock-In Question — This Is the Whole Ballgame

Now the part I actually care about, the part that made me write this post instead of just linking a comparison table.

Firebase locks you in at the data-model level. Your data lives in Firestore’s proprietary NoSQL format on Google’s servers. There is no “export to Postgres and move on” button that makes sense. If Google raises prices, deprecates a feature (they have a reputation — ask anyone who built on a killed-by-Google product), or you simply outgrow NoSQL and need real relational queries, your exit is a rewrite. Not a migration. A rewrite. The auth, the storage, the functions — all Google-flavored, all needing to be re-plumbed. You don’t own your backend; you rent it, and the deposit is non-refundable.

Supabase is portable by construction. It’s open-source and it’s standard Postgres underneath. If Supabase the company vanished tomorrow, you could pg_dump your database and restore it onto Neon, a raw box, or your laptop — because it’s just Postgres, the same Postgres running half the internet. You can even self-host the entire Supabase stack. That’s not a marketing bullet; it’s a genuine escape hatch. Your data model is one that Prisma, Drizzle, every ORM, and every future tool already speaks. (If you’re still deciding between the engines at all, I settled Postgres vs the other big one in PostgreSQL vs MySQL — Postgres for ~99% of SaaS.)

Now, to be fair — and 2026 is genuinely interesting here — Firebase noticed this criticism. They launched SQL Connect (it started as “Data Connect”), which puts a managed Cloud SQL Postgres database behind the Firebase experience, with realtime sync and native SQL, priced from about $0.90 per million operations. It’s a real acknowledgment that people want relational data and portability. But notice what it is: Firebase bolting Postgres on to answer Supabase, still inside Google Cloud, still Google’s ecosystem and billing. Supabase started from Postgres. Firebase is retrofitting toward it. That tells you which direction the gravity actually points.

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So Which One? My Honest Take

This is where my Broken Engineer bias shows, and I won’t pretend it doesn’t.

I’d pick Supabase. Not because Firebase is bad — it’s excellent — but because I refuse to build something I can’t walk away from. Standard Postgres means I own my data, my bill is predictable, and if the company ever disappoints me I take my pg_dump and leave. That portability is worth more to me than any single feature, and it’s consistent with everything else I believe about this stack: keep the core boring, standard, and yours. (I compared it against my daily driver in Neon vs Supabase vs Vercel Postgres — spoiler, I run Neon myself, but for a batteries-included backend Supabase is the one I recommend to friends.)

But pick Firebase if:

• You’re building a mobile app and want the smoothest realtime, offline-first experience on the planet. Firebase’s mobile SDKs are still unmatched, and if that’s your product’s core, the lock-in might be a fair trade.
• You’re already deep in Google Cloud and want everything under one login and one bill.
• You genuinely don’t care about leaving, and you value a decade of maturity and Google’s operational muscle over owning your data.

Lock-in isn’t automatically evil. It’s a trade. Firebase trades your freedom for polish and a mobile experience that’s hard to beat. Supabase trades a little of that polish for the certainty that your backend is yours. If you don’t mind renting, Firebase is a beautiful apartment. I just prefer to own the walls, even if I have to paint them myself.

Whatever you choose, don’t do what I did — pour six months into a data model you can’t query and can’t escape. Know the trade before you type your first document write. (And if you’re wiring the whole broke-founder stack together for the first time, start with the survival guide; if you’re the type to over-think the database specifically, the advanced database rabbit hole is where I lost my mind so you don’t have to.)

Your backend should be the thing you never think about again. Pick the one that lets you forget it — not the one that quietly holds your data hostage.

This is the Broken Engineer Guide — I over-engineer everything, fail at business, and hand you the receipts so you skip the scars. Now go build something, and make sure you can always get your data back out.