# Supabase vs. Firebase: a Complete Comparison in 2026 > Supabase vs. Firebase compared across database, auth, real-time, serverless functions, AI, local dev, self-hosting, and pricing — updated for 2026 with Firebase Data Connect, Supabase Branching, and the latest product shifts. Adela | 2026-04-19 | Source: https://www.bytebase.com/blog/supabase-vs-firebase/ --- > **Note:** 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 — 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 — 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 2025–2026 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 — 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** — NoSQL document store with collections, strong offline support, and recent additions including vector search and aggregation queries (`count()`, `sum()`, `avg()`) - **Realtime Database** — lightweight JSON tree, optimized for mobile real-time sync - **Firebase Data Connect** — 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](/blog/neon-vs-supabase). ## Authentication and Security Both platforms cover the mainstream cases — email/password, OAuth social providers, phone, MFA, and passkeys (GA on both in 2025). **Supabase**: - Uses **Postgres Row Level Security (RLS)** — 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 — 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 — 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** — Node.js, Python, Go, Java, .NET runtimes triggered by HTTP, Firestore, Auth events, Pub/Sub, and more - **App Hosting** (GA) — 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 2025–2026. **Firebase**: - **Firebase AI Logic** — SDK for calling Gemini / Imagen directly from client apps without a custom backend - **Genkit** (GA) — open-source framework for building generative AI features in TypeScript, Go - **Firebase Studio** — cloud IDE with built-in Gemini assistance (replaces Project IDX) - **Vertex AI** integration for production ML workloads - **Firestore vector search** — native similarity search for embeddings - **Crashlytics AI Insights** — Gemini-generated crash analysis **Supabase**: - **pgvector** — the Postgres extension for vector similarity search, maturing with HNSW indexes - **MCP server** — official Model Context Protocol integration so AI agents (Claude, Cursor, etc.) can query Supabase safely - **pg_mooncake** — Iceberg tables inside Postgres for analytics / RAG datasets at scale - **AI assistant** in the Supabase dashboard — 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 — one database for transactional, semantic, and analytical workloads. ## Local Development and Preview Environments This is where the 2025–2026 refresh changed the most. **Supabase**: - `supabase start` spins up the entire stack (Postgres + Auth + Storage + Edge Functions + Studio UI) locally via Docker - **Supabase Branching** — 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** — local emulators for Firestore, Realtime DB, Auth, Functions, Storage, Hosting - **Hosting preview channels** — 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** — 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](/blog/how-to-migrate-from-supabase-to-aws). ## Pricing | | **Supabase** | **Firebase** | | ------------------ | -------------------------------------------------------------------------- | --------------------------------------------------------------------------- | | **Free tier** | Free plan — 500MB database, 1GB storage, 50K MAUs, 2 active projects | Spark plan — free daily / monthly quotas per service (no billing attached) | | **Paid entry** | Pro — $25/month/project (8GB DB, 100GB bandwidth, daily backups, PITR) | Blaze — pay-as-you-go per operation (reads, writes, function invocations) | | **Team / mid** | Team — $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 | À la carte menu | Small apps are often cheaper on Firebase's Spark + Blaze combination. At scale, Supabase's flat pricing becomes easier to forecast — 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 — connection pooling, indexes, query plans, replica routing — 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 `.gql` files 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 — regardless of platform — [Bytebase](https://www.bytebase.com/) 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 — 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 — 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**: `.gql` schema files, deployed with `firebase 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](/blog/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](/blog/neon-vs-supabase) for a full comparison. --- Related reading: - [Neon vs. Supabase](/blog/neon-vs-supabase) - [Convex vs. Supabase](/blog/convex-vs-supabase) - [Supabase vs. AWS Database Pricing](/blog/supabase-vs-aws-database-pricing) - [How to Migrate from Supabase to AWS](/blog/how-to-migrate-from-supabase-to-aws) - [Supabase vs. MongoDB](/blog/supabase-vs-mongodb) - [What is Database Change Management](/blog/what-is-database-change-management)