Open-source Firebase alternative — Postgres, auth, storage, and realtime in one platform
Supabase is what happens when you take Postgres — the most battle-tested relational database available — and wrap it with a Firebase-style developer experience: instant REST and GraphQL APIs auto-generated from your schema, built-in authentication (email, phone OTP, Google, Apple, magic links), file storage, real-time subscriptions, and edge functions, all accessible through clean client SDKs for JavaScript, Flutter, Python, and more. For Indian startups building on React Native or Flutter, Supabase dramatically reduces backend setup time — what would take 2-3 weeks of backend engineering to stand up from scratch (database, auth, storage, API layer) is running in a day. The key advantage over Firebase is SQL: Supabase gives you a real Postgres database with full SQL support, proper relational structure, and the ability to run complex queries — not Firebase's document model which breaks down for relational data.
Supabase is an open-source backend-as-a-service platform founded in 2020 in San Francisco. It provides a hosted Postgres database with an auto-generated REST API, authentication, file storage, real-time subscriptions, and edge functions — all from a single dashboard and a unified client SDK. The project is fully open-source under Apache 2.0, meaning you can self-host it entirely if cloud hosting does not meet your requirements.
The Firebase comparison is inevitable and instructive. Firebase (Google) built its reputation on a document database (Firestore) that made mobile app development fast but introduced structural limitations as apps grew — complex relational queries became awkward, data modelling patterns that work in SQL do not translate cleanly to documents, and vendor lock-in is total. Supabase was built explicitly as the SQL-native alternative: you get a real Postgres database with all its power — joins, transactions, views, stored procedures, full-text search, row-level security — plus the same convenience layer Firebase provides.
For Indian startup engineering teams, Supabase's practical value is backend setup speed. An Indian startup building a new product typically spends 2-3 weeks standing up a backend: choosing a database, setting up auth, configuring storage, building API endpoints. With Supabase, that time collapses to 1-2 days. You create a Supabase project, define your schema through the dashboard or SQL editor, and immediately have a REST API, auth endpoints, and storage buckets. Your Flutter or React Native developers can start building against real data immediately.
Full Postgres with all extensions — PostGIS for geospatial data, pg_vector for AI embeddings, full-text search, JSONB columns, and the complete SQL feature set. Auto-generated REST and GraphQL APIs from your schema — every table immediately has endpoints for CRUD operations without writing any API code. For Indian teams migrating from Firebase, Supabase's relational structure handles the complex joins that Firestore cannot.
Email/password, phone OTP (important for Indian apps where phone-based auth is standard), magic links, Google, Apple, GitHub OAuth, and custom JWT. Row-Level Security (RLS) policies in Postgres control which users can access which rows — enforced at the database level, not the application level. For Indian fintech and consumer apps where phone OTP login is the primary flow, Supabase's phone auth with Indian SMS providers works out of the box.
S3-compatible file storage with access policies tied to your Postgres auth — the same user permissions that control database access also control which files a user can read or upload. For Indian apps handling KYC document uploads (Aadhaar photos, PAN cards, bank statements), Supabase Storage with proper RLS policies ensures documents are accessible only to the user who uploaded them and authorised agents.
TypeScript/Deno functions that run at the edge — handle webhooks, run background jobs, process Razorpay payment callbacks, send WhatsApp notifications via Gupshup. Deployed globally with low latency. For Indian products receiving Razorpay webhooks, an Edge Function processes the payment event, updates the database, and triggers downstream actions in under 100ms — all within Supabase without a separate Node.js server.
| Factor | Supabase | Firebase |
|---|---|---|
| Database type | Postgres (relational, SQL) | Firestore (document, NoSQL) |
| Complex queries | Full SQL — joins, aggregates | Limited — no joins |
| Phone OTP auth | Built-in | Built-in |
| Open-source | Yes — self-hostable | No — Google lock-in |
| Real-time | Postgres replication | Firestore listeners |
| Free tier | 500MB DB, 1GB storage | 1GB storage, limited reads |
| Retool / internal tool integration | Direct Postgres connection | Needs custom connector |
| Best for | Relational data, SQL-native teams | Rapid prototyping, document data |
Supabase charges per project per month based on database size and usage. USD billing — 18% GST reverse charge for Indian companies.
2 projects, 500MB database, 5GB bandwidth, 1GB storage, 50,000 monthly active users for auth. Sufficient for Indian seed-stage startups — most teams with under 10,000 active users stay on the free plan for 12-18 months. Projects paused after 1 week of inactivity (resume in seconds on next request).
$25/project/month. 8GB database, 250GB bandwidth, 100GB storage, no project pausing, daily backups, email support. Most Indian Series A teams run Pro — at one or two production projects the cost is Rs 2,100-4,200/month, significantly cheaper than running and managing equivalent AWS infrastructure independently.
$599/month for unlimited projects with advanced access controls and SLA. For Indian Series B+ teams running 5+ Supabase projects across multiple products, or teams needing formal uptime SLAs for enterprise customer commitments.
Google's backend platform with Firestore document database. Better for real-time apps and teams comfortable with NoSQL document modelling. Choose Firebase when your data is naturally document-shaped and you do not need relational queries.
MySQL-compatible serverless database with branching. No auth, storage, or functions — database only. Best for teams that need a best-in-class serverless database and will handle auth and storage separately.
Serverless Postgres with branching and autoscaling to zero. Database-only like PlanetScale — no auth or storage. Best for teams that want serverless Postgres with instant branching for development workflows.
We help Indian engineering teams choose their backend stack — Supabase vs Firebase vs custom — and set up the infrastructure that scales from 0 to Series A without a rewrite.
Book Free Call