This post is maintained by Bytebase, an open-source database DevSecOps tool which supports both Supabase and Firebase Data Connect. We update the post every year.
| Update History | Comment |
|---|---|
| 2025/04/19 | Initial version. |
| 2026/04/19 | Firebase Data Connect (PostgreSQL backend), Supabase Branching GA, AI tooling, updated pricing. |
Introduction
Supabase and Firebase are two leading Backend-as-a-Service (BaaS) platforms that let developers ship applications without managing backend infrastructure. They used to sit on opposite sides of the relational / NoSQL divide â that line has moved.
Firebase began in 2011 as a real-time NoSQL database and was acquired by Google in 2014. In 2024 it launched Firebase Data Connect, a managed PostgreSQL backend with a GraphQL-like query layer â its first SQL offering, directly answering the comparison below.
Supabase, launched in 2020, emerged as an open-source alternative to Firebase, built on PostgreSQL with SQL support and self-hosting. Over 2025â2026 it shipped Branching (Git-based preview environments), physical read replicas, background Edge Functions, and MCP server integration for AI agents.
The 2026 comparison is less "SQL vs. NoSQL" and more "open-source PostgreSQL platform vs. Google-ecosystem BaaS that now includes PostgreSQL."
Quick Comparison Table
| Feature | Supabase | Firebase |
|---|---|---|
| Philosophy | Open-source, standards-based, Postgres-first | Proprietary, fully-managed, Google ecosystem |
| Database | PostgreSQL (relational) | Firestore (NoSQL) + Realtime DB (NoSQL) + Data Connect (PostgreSQL via Cloud SQL) |
| Query | Full SQL, joins, CTEs, window functions | Firestore: document queries + vector search + aggregations; Data Connect: GraphQL over SQL |
| Auth | Email, social, phone, MFA, passkeys, anonymous | Email, social, phone, MFA, passkeys, anonymous |
| Real-time | Postgres logical replication + Phoenix Channels (Realtime v2) | Purpose-built Firestore/Realtime DB streams |
| Offline support | Client SDKs (basic) | Mature offline persistence in Firestore / Realtime DB |
| Functions | Edge Functions (Deno, TypeScript), background tasks, WebSocket | Cloud Functions (Node.js, Python, Go, Java, .NET), App Hosting (Next.js, Angular) |
| Storage | S3-compatible with RLS, Smart CDN | Google Cloud Storage with Security Rules |
| AI / ML | pgvector, pg_mooncake (Iceberg), MCP server, OpenAI/Hugging Face integrations | Firebase AI Logic, Genkit, Gemini API, Firestore vector search, Crashlytics AI |
| Preview environments | Supabase Branching (per-PR preview) | Hosting preview channels |
| Local development | supabase start (full local stack via Docker) | Firebase Emulator Suite (Firestore, Auth, Functions, etc.) |
| Self-hosting | Yes (open-source) | No |
| Pricing model | Predictable tiered ($0 / $25 / $599 / custom) | Usage-based pay-as-you-go (Blaze) on top of Spark free tier |
| Best for | SQL-first apps, open-source control, self-hosting, AI on Postgres | Mobile / web apps in Google ecosystem, real-time sync, rapid prototyping |
Core Philosophy
Supabase embraces open-source and Postgres as the single source of truth. Auth, storage, edge functions, and real-time all read from and enforce policies in the same Postgres database. You can walk away with a pg_dump at any point.
Firebase is Google-first and service-oriented â each capability (Firestore, Auth, Functions, Hosting, Data Connect) is a managed service with its own SDK. Data Connect narrowed the gap in 2024 by adding Postgres, but the operational model is still "Google manages it, you consume APIs."
Database Capabilities
Supabase uses a single Postgres instance per project:
- Full ACID, joins, CTEs, stored procedures, triggers
- PostgreSQL extensions (pgvector, PostGIS, pgmq, pg_cron, pg_mooncake for Iceberg)
- Physical read replicas (GA)
- Row Level Security as the primary authorization mechanism
Firebase now offers three database options:
- Firestore â NoSQL document store with collections, strong offline support, and recent additions including vector search and aggregation queries (
count(),sum(),avg()) - Realtime Database â lightweight JSON tree, optimized for mobile real-time sync
- Firebase Data Connect â managed PostgreSQL (Cloud SQL under the hood) with a GraphQL-like query layer; addresses the historical "Firebase can't do joins" complaint
For most new projects, the choice inside Firebase is between Firestore (if you want the classic real-time mobile experience) and Data Connect (if you want relational). Supabase remains the simpler story if you want one Postgres database, no SDK-specific schemas, and full SQL access.
For a deeper look at managed Postgres trade-offs, see Neon vs. Supabase.
Authentication and Security
Both platforms cover the mainstream cases â email/password, OAuth social providers, phone, MFA, and passkeys (GA on both in 2025).
Supabase:
- Uses Postgres Row Level Security (RLS) â access rules live in SQL and apply identically whether the client is a browser, a mobile app, or a backend service
- Service role key for trusted server-side code; anon key for public access
- Ideal for teams with SQL expertise that want one authorization model across the stack
Firebase:
- Firestore / Realtime DB use Firebase Security Rules (JavaScript-like DSL)
- Data Connect uses IAM + per-query authorization defined in the GraphQL schema
- Cloud Functions can act as gatekeepers for write paths
- Ideal for front-end-heavy teams already in the Google ecosystem
The philosophical difference: Supabase enforces auth inside the database engine; Firebase enforces it per service. Both work â the question is whether you want one policy language or several.
Real-time and Offline
Firebase remains the gold standard for mobile real-time:
- Firestore and Realtime Database sync automatically across clients
- Mature offline persistence â writes queue locally and replay on reconnect
- Automatic conflict resolution, retry, and exponential backoff
Supabase Realtime (v2) leverages Postgres logical replication + Phoenix Channels:
- Subscribe to INSERT / UPDATE / DELETE events at the table or row level
- Presence tracking for multiplayer apps
- Broadcast channel for ephemeral messages
- Offline support in client SDKs is improving but still less mature than Firestore
If offline-first mobile is the main use case, Firebase still wins. For collaborative web apps and server-driven change streams, Supabase is a strong fit.
Serverless Functions
Supabase Edge Functions (Deno / TypeScript):
- Run at the edge for low latency
- Direct access to the Supabase Postgres database via the service role key
- Background tasks (long-running jobs) and WebSocket support added in 2025
- Lightweight and database-aware; best for API endpoints and custom auth hooks
Firebase Cloud Functions & App Hosting:
- Cloud Functions â Node.js, Python, Go, Java, .NET runtimes triggered by HTTP, Firestore, Auth events, Pub/Sub, and more
- App Hosting (GA) â first-class hosting for Next.js and Angular apps with server-side rendering, replacing the legacy Firebase Hosting for full-stack JS apps
- Tight GCP integration; good for teams that need broad runtime support
Supabase Edge Functions are lean and TypeScript-native. Firebase gives you more runtime options and a hosted Next.js/Angular platform.
AI and Machine Learning
The AI story moved significantly in 2025â2026.
Firebase:
- Firebase AI Logic â SDK for calling Gemini / Imagen directly from client apps without a custom backend
- Genkit (GA) â open-source framework for building generative AI features in TypeScript, Go
- Firebase Studio â cloud IDE with built-in Gemini assistance (replaces Project IDX)
- Vertex AI integration for production ML workloads
- Firestore vector search â native similarity search for embeddings
- Crashlytics AI Insights â Gemini-generated crash analysis
Supabase:
- pgvector â the Postgres extension for vector similarity search, maturing with HNSW indexes
- MCP server â official Model Context Protocol integration so AI agents (Claude, Cursor, etc.) can query Supabase safely
- pg_mooncake â Iceberg tables inside Postgres for analytics / RAG datasets at scale
- AI assistant in the Supabase dashboard â generate SQL and RLS policies from natural language
- Integrations with OpenAI, Hugging Face, LangChain, LlamaIndex
Firebase wins on end-to-end developer convenience and first-party Gemini access. Supabase wins if you want your AI data layer to be Postgres â one database for transactional, semantic, and analytical workloads.
Local Development and Preview Environments
This is where the 2025â2026 refresh changed the most.
Supabase:
supabase startspins up the entire stack (Postgres + Auth + Storage + Edge Functions + Studio UI) locally via Docker- Supabase Branching â every Git branch / PR can create an isolated database + API preview, matching Vercel-style preview environments
- Seeds and migrations travel with the repo; PRs can run schema changes against the branch before merging
Firebase:
- Firebase Emulator Suite â local emulators for Firestore, Realtime DB, Auth, Functions, Storage, Hosting
- Hosting preview channels â short-lived URLs per PR for the hosted frontend
- No native database preview-per-PR for Firestore; Data Connect's PostgreSQL backend can be point-in-time cloned via Cloud SQL
For teams that care about "open this PR, get a fresh database to test against," Supabase Branching is a clear advantage. For emulating the full Firebase service surface locally, the Emulator Suite is mature.
Self-Hosting
Supabase is open-source (Apache 2.0 for most components) and self-hostable. The reference self-hosted stack runs on Docker Compose; production deployments typically use Kubernetes or managed Postgres underneath. Critically, self-hosting means no data leaves your infrastructure â relevant for compliance (SOC 2, HIPAA, GDPR data residency).
Firebase is closed-source and Google-hosted. There's no self-hosting path. If you need on-prem or air-gapped, Firebase isn't an option.
If you ever need to migrate off Supabase, see How to Migrate from Supabase to AWS.
Pricing
| Supabase | Firebase | |
|---|---|---|
| Free tier | Free plan â 500MB database, 1GB storage, 50K MAUs, 2 active projects | Spark plan â free daily / monthly quotas per service (no billing attached) |
| Paid entry | Pro â $25/month/project (8GB DB, 100GB bandwidth, daily backups, PITR) | Blaze â pay-as-you-go per operation (reads, writes, function invocations) |
| Team / mid | Team â $599/month/org (SOC 2, SSO, audit log, priority support) | Blaze with higher usage; no flat mid-tier |
| Enterprise | Custom (on-prem / BYO cloud, custom SLAs) | Custom (via Google Cloud sales) |
| Cost shape | Predictable flat per-project | Scales linearly with usage; cheap small, can surprise at scale |
| Analogy | Fixed-price buffet | Ã la carte menu |
Small apps are often cheaper on Firebase's Spark + Blaze combination. At scale, Supabase's flat pricing becomes easier to forecast â Firestore read/write charges compound quickly with real-time listeners and fan-out workloads.
Performance and Reliability
Firebase:
- Google's global infrastructure; multi-region replication available on most services
- Automatic horizontal scaling with minimal configuration
- Optimized for global mobile real-time sync
Supabase:
- Hosted on AWS in multiple regions
- Physical read replicas (GA) for read scaling
- Postgres connection pooling via Supavisor
- Requires some tuning for high-concurrency workloads; pays off with Postgres-native query performance
Firebase is "set and forget" at global scale. Supabase gives you more knobs â connection pooling, indexes, query plans, replica routing â which is an advantage if you have the SQL expertise and a disadvantage if you don't.
Database Change Management
Schema evolution is where BaaS platforms historically under-invest.
- Supabase migrations live in SQL files in the Git repo and are applied via the Supabase CLI (
supabase db push). Branching makes it natural to review schema changes per PR - Firebase Data Connect schemas live in
.gqlfiles alongside the app and are deployed via the Firebase CLI - Firestore has no schema; you enforce shape in Security Rules or a Data Connect layer
For teams that want review, approval, rollback, and audit on database changes across environments â regardless of platform â Bytebase adds a review-and-approval workflow on top of Supabase (and any other Postgres host).
When to Choose Supabase
- You want Postgres as the system of record with full SQL access
- You need self-hosting or data residency control
- You want per-PR database previews via Branching
- Your AI stack benefits from pgvector + Postgres in one place
- You prefer flat, predictable pricing over usage-based billing
When to Choose Firebase
- You're building a mobile-first app with real-time sync and offline needs
- You're already in the Google ecosystem (Gemini, GCP, Google Analytics)
- You want rapid prototyping with minimal infra decisions
- You need multiple runtimes for serverless (Python, Go, Java, .NET)
- You want Firebase AI Logic for client-side Gemini calls without custom backend
Conclusion
In 2026 the comparison is narrower than it used to be. Firebase Data Connect gave Firebase a Postgres story; Supabase shipped Branching, read replicas, and MCP. Pick Supabase if you want one open Postgres to power everything, including AI. Pick Firebase if you want Google-grade managed services and a mobile-first real-time experience.
FAQ
Is Firebase Data Connect a real alternative to Supabase?
Yes, for the Postgres-and-GraphQL use case. Firebase Data Connect runs on Cloud SQL for PostgreSQL and exposes a GraphQL-like query layer. Where it differs: you don't get direct SQL access in the same way, schema modeling is done in .gql files, and self-hosting isn't an option. If you want open-source Postgres with SQL, Supabase is still the better fit; if you want Google-managed Postgres inside the Firebase console, Data Connect is viable.
Can I use Supabase and Firebase together?
Possible but uncommon. Teams sometimes use Firebase Auth + Cloud Messaging for mobile identity/push while keeping data in Supabase Postgres â the SDKs don't fight each other. More often, teams pick one platform and commit.
Which is cheaper?
For small apps with low traffic, Firebase's Spark (free) + Blaze (pay-per-op) is often cheaper because you pay nothing until you grow. Supabase's $25 Pro entry is a fixed cost. At scale (millions of real-time listeners, heavy fan-out), Supabase's flat pricing usually wins because Firestore per-operation costs compound. Run projected usage through each pricing calculator before deciding.
Does Supabase support mobile offline like Firebase?
Partially. Supabase client SDKs have basic offline handling but Firebase's Firestore offline persistence is the mature standard. For offline-first mobile apps, Firestore or Realtime Database still has the edge.
Can I self-host Firebase?
No. Firebase is closed-source and Google-hosted. If self-hosting is a hard requirement (air-gapped, on-prem, strict data residency), Firebase is off the table â consider Supabase or a different stack entirely.
How do I handle schema migrations on Supabase and Firebase?
- Supabase: SQL migration files in Git, applied with
supabase db push. Branching creates per-PR preview databases to test migrations before merge - Firebase Data Connect:
.gqlschema files, deployed withfirebase deploy --only dataconnect - Firestore: no schema, but you can enforce structure in Security Rules or add a Data Connect layer
For cross-environment review, approval, and audit on any Postgres (including Supabase), see What is Database Change Management.
What about Neon or PlanetScale as alternatives?
Neon is a serverless Postgres platform with branching similar to Supabase's but without the BaaS layer (no built-in auth / storage / edge functions). PlanetScale is MySQL-based, serverless, with strong branching but no Postgres. See Neon vs. Supabase for a full comparison.
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