Firebase vs Supabase, MongoDB and the Alternatives
Firebase is not the only way to skip building a backend. Here is where each alternative genuinely wins, and where it does not.
10 min read · updated August 5, 2026
Firebase belongs to a category called Backend-as-a-Service. You get a database, authentication, file storage and server functions without running any servers. The alternatives all promise the same thing and differ in how they deliver it.
This is a comparison written by people who build a Firebase tool, so read it with that in mind. We have tried to be fair about where Firebase loses.
Firebase vs Supabase
This is the comparison people actually mean when they ask about Firebase alternatives. Supabase markets itself as the open-source Firebase alternative, and the core difference is the database underneath.
| Firebase | Supabase | |
|---|---|---|
| Database | Firestore — documents, NoSQL | PostgreSQL — tables, SQL |
| Queries | A limited query API | Full SQL, including joins |
| Relationships | You denormalise and duplicate data | Foreign keys, as in any relational database |
| Open source | No | Yes — you can self-host |
| Offline support | Mature, first-class | Weaker |
| Owned by | An independent company |
The honest split:
- Choose Supabase if your data is relational. Orders that belong to customers who belong to companies. In SQL that is a join. In Firestore it is three reads and some duplication you maintain by hand.
- Choose Firebase if you are mobile-first. Offline support, push notifications, Crashlytics and analytics are one integrated set. Supabase covers the database well and leaves the rest to you.
- Choose Supabase if lock-in worries you. It is Postgres. You can take your database and leave. Firestore data is portable in principle and painful in practice.
Firebase vs MongoDB Atlas
Both store documents rather than rows, so the data model feels similar. The difference is scope.
MongoDB Atlas is a database, and a very capable one — aggregation pipelines, rich indexing, real query power over documents. It is not an authentication service or a push notification service.
Firebase is a bundle. Weaker database, much broader platform.
If you have complex document queries and are happy assembling the rest yourself, Atlas beats Firestore on database capability. If you want one SDK that handles sign-in, storage, notifications and data, Firebase wins on coverage.
Firebase vs AWS Amplify
Amplify is Amazon's answer to Firebase, and it is the closest match on paper — auth, data, storage, functions, hosting.
In practice Amplify is more configurable and considerably harder to learn. It sits on top of the wider AWS ecosystem, which is a real advantage if you are already there and a steep climb if you are not.
For a small team shipping a mobile app quickly, Firebase gets you further in a weekend. For an organisation already running on AWS with compliance requirements, Amplify fits the existing account structure.
Firebase vs a normal SQL database
Worth stating plainly: you can just use Postgres or MySQL on a server, with an ORM and a web framework. Millions of applications do.
What you give up is the realtime sync, the offline cache, and not having to run anything. What you get back is complete control, no per-read pricing, and no vendor deciding your roadmap.
Firebase is at its best when live-updating data across devices genuinely matters to your product. If your app is mostly forms and lists that refresh when someone pulls down, a conventional database is simpler and cheaper.
Where Firebase genuinely wins
- Getting started. A working app with authentication and a live database in an afternoon is not marketing — it is accurate.
- Offline. Firestore's offline cache is the best in this category. Your app works on the Underground and syncs when it surfaces.
- Mobile completeness. Push notifications, crash reporting and analytics in the same SDK, all free.
- Scaling without thinking. Firestore handles traffic spikes with no work from you. That is a genuine operational saving.
Where Firebase genuinely loses
- Relational data. No joins. You denormalise, and then you maintain that duplication forever.
- Reporting and analytics. Answering "what were sales by region last quarter" means exporting to BigQuery. In SQL it is one query.
- Per-operation pricing. Costs scale with reads, not with data size. A busy dashboard is expensive in a way that surprises people.
- Lock-in. Security rules, SDKs and data model are all Firebase-shaped. Leaving means rewriting, not migrating.
- Vendor risk. Google has retired products before. That is a real consideration for a ten-year plan, even if Firebase looks safe today.
A decision, in four lines
| If your situation is… | Start with |
|---|---|
| Mobile app, offline matters, ship fast | Firebase |
| Relational data, reporting, SQL people on the team | Supabase |
| Already deep in AWS | Amplify |
| Complex document queries, will build the rest | MongoDB Atlas |
And the option nobody lists: use more than one. Firebase for auth and notifications alongside Postgres for the data you need to query properly is a perfectly reasonable architecture, and more common than the marketing pages suggest.
Frequently asked questions
- Is Supabase better than Firebase?
- For relational data and SQL reporting, yes. For mobile apps needing offline support, push notifications and crash reporting in one SDK, Firebase is more complete. They are genuinely different tools rather than one being better.
- Can I migrate from Firebase to Supabase?
- Yes, but it is a rewrite rather than a migration. Your data can be exported, but security rules, SDK calls and the data model itself all have to be redone, since Firestore documents rarely map cleanly onto relational tables.
- Is Firebase cheaper than Supabase?
- At small scale both have usable free tiers. At larger scale it depends on traffic shape — Firebase charges per read and write, Supabase charges mainly for compute and storage. Read-heavy apps often cost more on Firebase.
- Can Firebase replace a SQL database?
- For many apps, yes. For anything needing joins, transactions across many tables, or ad-hoc reporting, no — Firestore is not designed for that and working around it gets painful.
- Does Firebase support PostgreSQL or MySQL?
- Not directly. Firebase offers Firestore and Realtime Database, both NoSQL. Google Cloud SQL provides managed Postgres and MySQL, but it is a separate product outside the Firebase SDKs.
- Is it sensible to use Firebase and another database together?
- Yes, and it is common. Using Firebase for authentication and push notifications while keeping your main data in Postgres gives you the mobile features without forcing a document model onto relational data.