Firestore vs Supabase: which database fits your app in 2026?

The one-line summary

Firestore is a managed NoSQL document store optimised for mobile-first, real-time apps with simple queries and unpredictable scale. Supabase is managed Postgres with auth, storage and realtime bolted on, optimised for teams that want a relational model and SQL. Both are great. They're great at different things.

Data model

Firestore stores documents in collections. There are no joins, no foreign keys and no schema enforcement. You denormalize for reads. Supabase is Postgres: tables, rows, foreign keys, joins, views, full SQL. If your data is naturally relational (orders, line items, invoices, users with complex permissions), Postgres will save you weeks. If your data is naturally document-shaped (chats, feeds, user profiles with arbitrary settings), Firestore feels native.

Queries

Firestore queries are intentionally limited: one range filter per query, mandatory indexes for compound queries, no joins, no aggregations until you add a separate solution. The upside is predictable performance at any scale. Supabase gives you the full SQL surface area: joins, window functions, CTEs, full-text search, materialized views. The downside is that a slow query stays slow whether you have 100 or 100 million rows.

Real-time

Both support real-time subscriptions. Firestore's real-time is older, battle-tested and scales to millions of concurrent listeners without ceremony. Supabase Realtime is newer, built on Postgres logical replication, and works well for typical app loads but has more moving parts.

Security

Firestore uses security rules: a small DSL that runs per-document. Supabase uses Postgres row-level security: SQL policies that run per-row. Rules are easier to read for simple cases; RLS is more expressive for complex cases. If your auth model has roles, groups and resource sharing, RLS will scale better. If it's mostly 'owner can read and write,' rules are quicker.

Pricing at scale

Firestore charges per read, write and delete plus storage. Predictable for steady workloads, expensive for read-heavy apps that don't cache. Supabase charges for compute and storage; reads are effectively free once you've paid for the instance. A read-heavy app (dashboards, feeds, search) is usually cheaper on Supabase. A write-heavy app with spiky traffic is often cheaper on Firestore because you don't pay for idle compute.

Ecosystem

Firestore is part of Firebase: auth, hosting, functions, analytics, crash reporting, A/B testing, push notifications. If you're shipping a mobile app, that bundle is hard to beat. Supabase is part of the Postgres ecosystem: every ORM, every BI tool, every backup tool already works. If your stack is web-first or you have analysts who want SQL access, that ecosystem is hard to beat.

Tooling and DX

The Firebase console is fine for inspection and rough for daily data work; a dedicated GUI like FireSheets fills the gap with spreadsheet-style editing, CSV import/export and team sharing. Supabase ships its own table editor and SQL runner in the dashboard, which covers most needs out of the box.

Which one should you pick?

Pick Firestore if you're building a mobile-first or real-time-first app, your data is document-shaped, you want zero-ops scaling and you live inside the Google ecosystem. Pick Supabase if your data is relational, your team knows SQL, you want predictable pricing and you care about portability (it's just Postgres, you can leave whenever). Plenty of teams use both: Firestore for the live app surface, Postgres for analytics and back-office. There's no rule that says you have to choose one.

Migrating between them

If you do migrate, export to CSV first. FireSheets exports any Firestore collection to CSV or XLSX in one click, which lands cleanly in a Postgres COPY. Going the other way, export Postgres to CSV and import into Firestore with FireSheets' import wizard. The hard part of a migration is never the data, it's the queries and the security model.