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Supabase vs Firebase

Open-source Postgres platform against Google's mobile backend, with 2026 pricing.

The core decision is the database model, because everything else follows from it. Supabase is a real Postgres database with auth, storage, realtime, and edge functions attached, and it is open source and self-hostable. Firebase is Google's managed backend built around Firestore, a NoSQL document store with excellent realtime sync and deep ties to Google Cloud and mobile tooling. Their pricing models differ as much as their databases: Supabase bills for resources, Firebase bills per operation.

At a glance

SupabaseFirebase
DatabasePostgres, full SQL, joins, extensionsFirestore (NoSQL documents) + Realtime Database
Free tier500 MB database, 1 GB storage, 50K MAUs, 2 projectsSpark plan: 1 GB Firestore, 50K reads/20K writes per day
Paid entryPro, $25/mo flat plus usage overagesBlaze, pure pay-per-operation, no base fee
Pricing modelResources: database size, storage, egress, MAUsOperations: every read, write, delete is metered
Serverless functionsEdge Functions (Deno), on free tier tooCloud Functions, Blaze plan only, not on free
RealtimeGood: Postgres changes, broadcast, presenceBest in class, offline sync built into the SDKs
AuthIncluded, priced by monthly active usersFirebase Auth, generous free allowance
Self-hostableYes, open source stack, or plain Postgres anywhereNo, Google-hosted only
VendorIndependent company, open-source coreGoogle, part of Google Cloud
Best-known forWeb apps, SaaS, anything SQL-shapedMobile apps, realtime sync, analytics + crash tooling

Pricing

Numbers below are from the official pricing pages as of 2026.

TierSupabaseFirebase
Free$0: 500 MB DB, 1 GB storage, 5 GB egress, 50K MAUs, projects pause after a week idleSpark $0: hard daily quotas, no Cloud Functions
PaidPro $25/mo: 8 GB DB, 100 GB storage, 250 GB egress, 100K MAUs includedBlaze: pay per use, Firestore reads about $0.06 per 100K, plus storage, egress, function invocations
Team / scaleTeam $599/mo (SOC 2, priority support), Enterprise customNo tiers, the bill just scales with usage

The practical difference: a tiny Firebase app can cost literally nothing for a long time, while Supabase asks for $25 the day you outgrow the free tier. But Firebase costs scale with how chatty your app is, not how big it is. A poorly structured listener that re-reads a collection on every screen load can multiply your bill without adding a single user. Supabase's flat base plus resource overages is easier to forecast.

When to pick Supabase

Pick Supabase when your data is relational, which for SaaS and most web apps it is. Users, teams, subscriptions, and permissions want joins and constraints, and with Firestore you end up denormalizing and maintaining duplicate data by hand. With Supabase you just write SQL, and row level security policies give you authorization enforced in the database instead of scattered through client rules.

It is also the better fit if you care about exit options. The core is open source and the database is plain Postgres, so leaving means pointing a standard Postgres dump at any other host. That exit may not be trivial in practice, you would still replace auth and storage APIs, but your data is never hostage. Add pgvector for AI features and the Postgres extension ecosystem, and Supabase has become the default backend for the current wave of web and AI apps.

Its weaker spots: mobile offline sync is not close to Firebase's, the free tier pausing after a week of inactivity annoys hobby projects, and the surrounding product suite (analytics, crash reporting, push messaging) is thinner.

When to pick Firebase

Pick Firebase for mobile-first apps, especially anything collaborative or realtime. Firestore's client SDKs handle offline caching, conflict-free sync, and reconnection for you, and reproducing that on Supabase means writing the hard parts yourself. For chat, live location, multiplayer state, or field apps with flaky connectivity, this is Firebase's home turf and it is still the best at it.

Firebase also wins on breadth of the surrounding platform. Auth, Cloud Messaging for push, Crashlytics, Analytics, Remote Config, and App Distribution are all first-party and wired together, which for a small mobile team replaces several separate vendors. If your organization already runs on Google Cloud, the pieces fit together with little glue code. Worth knowing: Google has been extending Firebase toward SQL too, with Data Connect exposing a Cloud SQL Postgres backend through Firebase tooling, a quiet admission of where developer demand went.

The costs to accept: NoSQL modeling debt as your queries get more relational, per-operation billing that punishes inefficient access patterns, and full dependence on Google's hosting and roadmap.

What most comparisons miss

Most comparisons stop at open versus closed source and miss where the lock-in actually lives. Firebase lock-in is architectural, not contractual. Firestore's data model and security rules shape your entire application structure, so migrating off is a rewrite, not a data export. Supabase's lock-in is inverted: the database is portable, but the convenience layer (auth, storage, edge functions, realtime APIs) is what you would rebuild. The difference is that with Supabase your worst case is owning a normal Postgres database, which is a good worst case.

The other blind spot is billing failure modes. Supabase's failure mode is hitting a resource ceiling and being asked to upgrade. Firebase's failure mode is an unbounded bill from a runaway read loop or a traffic spike, since Blaze has no built-in hard cap, only alerts. For a solo developer, which failure mode you can live with is a legitimate deciding factor on its own.

My verdict

For a new web app or SaaS in 2026 I would start on Supabase without much deliberation. SQL fits the data, $25/mo is predictable, and the escape hatch to plain Postgres is real. I would still choose Firebase for a mobile app that leans on offline sync and realtime collaboration, because nothing else makes that as easy. The honest tiebreaker is your data shape: relational data on Firestore hurts more than document data on Postgres.