Supabase vs Firebase for Indian MVPs in 2026 — Real Cost on 10K MAU

By Rohit Raj — Founding Engineer, 6 years shipping production MVPs · LinkedIn

The short answer: if your MVP is web-first or web+mobile, pick Supabase Pro at $25/month. At 10K monthly active users on an Indian MVP, Supabase Pro costs about ₹2,600/month all-in versus Firebase Blaze at ₹4,800-₹12,000/month depending on SMS auth volume and media egress. The delta is 2-4x in Supabase's favour and the gap widens as you cross 25K MAU. If your MVP is mobile-only, push-notification-heavy, and you need Crashlytics + Remote Config out of the box, Firebase still wins — but you pay for that convenience.

The cost gap is structural, not a temporary promo. Firebase Blaze charges per-operation (reads, writes, egress, SMS) on top of a generous-looking Spark free tier that Google tightened in February 2026 — daily reads dropped from 50K to 25K, writes from 20K to 10K, and Phone Auth on Spark now caps at 50 verifications/day. The moment your MVP crosses those new limits you are paying per call forever. Supabase Pro is a $25 flat fee that includes 100K MAU, 250GB egress, 8GB Postgres, daily backups, pgvector, and pg_cron. The pricing model is the difference.

The structural reason this matters now: Supabase opened the AWS ap-south-1 (Mumbai) region in November 2025, closing the one real advantage Firebase had — sub-50ms latency to Indian users. Firebase has had asia-south1 since 2017, but Supabase Mumbai means the 2026 latency story is now a draw. With latency neutralized, the comparison reduces to pricing model, developer experience, and lock-in — and on all three Supabase wins for the typical Indian MVP profile.

I ran this exact comparison last month when migrating a client's clinic-booking app from Firebase Blaze to Supabase Pro. The app has 11,400 MAU, OTP-based auth, ~150K Firestore reads/day, ~22K writes/day, 2.1GB storage for profile pictures, and roughly 55GB egress/month from image serving. Here is the actual rupee delta after one full billing cycle on each.

That ₹1.12 lakh annual saving funds a Hetzner CX42 for redundancy, six months of OpenAI Tier-1 API spend, or three weeks of a senior contractor's rate.

The SMS auth line is doing most of the work. Firebase's Phone Auth pricing is the killer for any Indian MVP that does OTP signup — Google charges $0.06/verification while MSG91, Gupshup, or Twilio India routes cost ₹0.40-₹0.60. Supabase lets you wire your own SMS provider; Firebase forces their managed rate. On a media-light, OAuth-only app the gap narrows to roughly 2x, but the moment Indian phone OTP is in the loop, Firebase becomes 4-6x more expensive.

Until late 2025, Firebase had a structural India advantage — asia-south1 in Mumbai meant sub-50ms p95 latency for Firestore reads from Bengaluru, Hyderabad, and Delhi NCR. Supabase ran primarily out of ap-southeast-1 (Singapore), adding ~70-90ms of round-trip on every query.

In November 2025 Supabase shipped AWS ap-south-1 (Mumbai) as a primary region. I measured p95 latency from my Bangalore home connection to a fresh Supabase project in ap-south-1 last week — 28ms for a simple SELECT, 41ms for a join across two tables. Firebase asia-south1 from the same connection clocked 32ms for a Firestore document read. They are within margin of error.

What this means for an Indian MVP: the latency excuse for picking Firebase no longer holds. Both backends now sit ~30ms from a typical Indian user. Choose on price, RLS flexibility, and lock-in instead.

The one remaining latency concern is Supabase Realtime — it currently runs out of the project's primary region, so a Mumbai-based project gets Mumbai-based websocket fanout. Firebase Realtime Database runs out of asia-southeast1 (Singapore) for India users until you explicitly request asia-south1 Firestore. If your app does live cursors or chat, the configuration matters. For typical CRUD apps, neither is a bottleneck.

I migrated StellarMIND's pgvector workload to Supabase ap-south-1 in December 2025 — embedding similarity searches dropped from 110ms p95 (Singapore) to 34ms p95 (Mumbai). For RAG-heavy Indian MVPs, this latency drop alone justified the migration even before the cost math.

Firestore Security Rules use a Google-specific DSL that runs at the edge. Rules look like:

match /clinics/{clinicId}/patients/{patientId} {
  allow read: if request.auth != null
    && request.auth.uid == resource.data.ownerUid;
  allow write: if request.auth != null
    && get(/databases/$(database)/documents/clinics/$(clinicId))
       .data.staff[request.auth.uid] == true;
}

Postgres Row Level Security in Supabase uses standard SQL:

CREATE POLICY "patient read own"
  ON patients FOR SELECT
  USING (auth.uid() = owner_uid);

CREATE POLICY "staff read clinic patients"
  ON patients FOR SELECT
  USING (
    EXISTS (
      SELECT 1 FROM clinic_staff
      WHERE clinic_staff.clinic_id = patients.clinic_id
        AND clinic_staff.user_id = auth.uid()
    )
  );

The trade-off is verbosity for power. Firestore Rules are simpler — one file, document-scoped, no joins. Postgres RLS lets you express any predicate SQL can express, including subqueries, joins across tables, aggregate checks, and time-window logic that Firestore Rules cannot match. For complex multi-tenant SaaS like the clinic app, this matters: I had eight Firestore Rules spread across nested documents trying to express "staff at clinic X can see patients of clinic X but only during their shift hours". One Postgres RLS policy with a join handled the same logic cleanly.

The footgun warning is real. Supabase RLS is harder to get right initially — every table needs RLS enabled, every operation needs a policy, and missing one means data leaks. I wrote about the five Supabase RLS bugs every vibe-coded app hits precisely because the framework gives you SQL power without the SQL-shaped guardrails. Firestore Rules are easier to write but force you into denormalized data layouts that get expensive at scale. Pick your trade.

Below is the full feature comparison I use during scoping calls with founders deciding between the two. The "Verdict" column reflects what fits a typical Indian MVP at 5K-50K MAU.

Lock-in is the underrated dimension. Firestore is a Google-only product. If Firebase pricing doubles next year, your only escape is a full rewrite to a different document store or a relational mapping that destroys your access patterns. Supabase is Postgres plus open-source services — you can self-host the entire stack on a $40 VM if Supabase's pricing ever stops working for you. The exit cost is hours, not months.

I am not writing a Firebase hit piece. There are three concrete MVP profiles where Firebase remains the better choice in 2026, and I have recommended it to founders four times in the last six months.

Profile 1: Mobile-only consumer app with FCM push as a core flow. Firebase Cloud Messaging is the industry-standard push pipeline, free, and deeply integrated with Android and iOS SDKs. Bolting OneSignal or Expo Notifications onto Supabase works but adds a $9/month tool, an extra SDK, and a fanout layer to maintain. For a B2C app that sends millions of pushes (gaming, food delivery, social), Firebase saves you a vendor and a moving part.

Profile 2: Mobile-first MVP needing Crashlytics + Remote Config + A/B Testing on day one. Firebase bundles Crashlytics (free crash reporting), Remote Config (feature flags), and A/B Testing (experiment framework) into one console. Reproducing this stack on Supabase needs Sentry ($26/mo), LaunchDarkly or PostHog feature flags ($0-50/mo), and probably PostHog for experiments. For a mobile team of three shipping fast, the Firebase console is the cheaper time investment even if the monthly bill is higher.

Profile 3: Anonymous user heavy product where authentication is a feature, not a requirement. Firebase Anonymous Auth lets users start using your app instantly with a backend-generated UID, then optionally upgrade to a real account. Supabase supports anonymous sign-in since v2.41 (early 2025) but the migration UX is rougher and the documentation is thinner. For a viral consumer app where most users never sign up, Firebase's flow is more polished.

The pattern: Firebase wins on bundled mobile tooling and on managed convenience. Supabase wins on cost, SQL power, and not being locked into Google. If you are building an Indian SaaS or B2B MVP, Supabase is almost always right. If you are building a B2C mobile app shipping to Play Store and App Store in the next sprint, Firebase still has the edge.

Use this checklist to pick in under five minutes. I run it with every founder on a scoping call.

1. Is your MVP web-first or web+mobile? Web-first → Supabase. Mobile-only → continue to step 2.
2. Do you need FCM push as a day-one flow? Yes → Firebase. No → continue to step 3.
3. Will more than 30% of your auth volume be Indian phone OTP? Yes → Supabase (the SMS arbitrage alone funds the migration). No → continue to step 4.
4. Do you need vector search, complex joins, time-window queries, or analytical aggregations? Yes → Supabase (Postgres SQL is the right tool). No → continue to step 5.
5. Are you certain you will stay under 25K MAU for the next 12 months and do not need Crashlytics? Yes → either works, pick on team familiarity. No → Supabase (the cost curve crosses around 10-15K MAU and Supabase widens the gap).

The migration cost is real but bounded. When I moved the clinic-booking app from Firebase to Supabase, the engineering effort was 47 hours over two weeks — schema redesign from Firestore documents to Postgres tables, RLS policies replacing security rules, OAuth provider reconfiguration, and a one-time data migration script. The annualized saving paid that back inside three months. If your MVP is already in production on Firebase with 50K+ MAU, the migration is worth doing today; if you are still pre-launch, just start on Supabase and skip the migration entirely.

If you are starting an Indian MVP in 2026 and want the backend stack picked correctly on day one, this is what the 6-Week MVP Sprint is built around. Fixed scope, fixed price, Supabase + Next.js + Postgres by default with Firebase reserved for the specific mobile-first profiles above. No vendor lock-in, full GitHub access, deploy-ready by week six.

If you already have a Firebase MVP hitting the cost wall and want it migrated to Supabase without breaking the product, hire me as a founding engineer on a sprint or retainer. I have done four of these migrations in the last six months — the playbook is dialled, the RLS pitfalls are documented, and the typical timeline is 6-8 weeks for a 25K-MAU app with full schema redesign and OAuth migration.

Or read my comparison of $15K MVPs vs $50K agency quotes to understand what the sprint actually includes before booking a call.