Supabase
BackendOpen-source Firebase alternative
Supabase gives you the full power of PostgreSQL with a Firebase-like developer experience — auth, realtime, storage, and edge functions included — while being fully open source and free of vendor lock-in.
Supabase is an open-source Firebase alternative built on PostgreSQL. It provides a complete backend with auth, realtime subscriptions, storage, and edge functions, all with the reliability of Postgres.
Reviewed by the AI Tools Hub editorial team · Last updated February 2026
Supabase — In-Depth Review
Supabase is an open-source backend-as-a-service platform that provides developers with a full suite of tools for building modern applications — all built on top of PostgreSQL, the world's most advanced open-source relational database. Founded in 2020 by Paul Copplestone and Ant Wilson, Supabase positions itself as the open-source alternative to Firebase, offering a relational database, authentication, real-time subscriptions, file storage, edge functions, and vector embeddings — with the crucial difference that your data lives in a standard PostgreSQL database you can always take with you. In just four years, Supabase has grown to over 1 million databases created and has raised over $116 million in funding, attracting developers frustrated by Firebase's proprietary lock-in and NoSQL limitations.
PostgreSQL at the Core
Unlike Firebase's Firestore (a proprietary NoSQL document database), Supabase gives you a full PostgreSQL database with no restrictions. This means you get ACID transactions, complex joins, foreign keys, views, stored procedures, triggers, and the entire ecosystem of PostgreSQL extensions. You can use PostGIS for geospatial queries, pg_trgm for fuzzy text search, pgcrypto for encryption, and hundreds of other extensions. The Supabase Dashboard includes a Table Editor (a spreadsheet-like interface for viewing and editing data), a SQL Editor for running raw queries, and database management tools for managing roles, policies, and extensions. Crucially, because it is standard PostgreSQL, you can connect any PostgreSQL-compatible tool — pgAdmin, DBeaver, Prisma, Drizzle, or your application's ORM — directly to your database.
Row Level Security (RLS)
Row Level Security is a PostgreSQL feature that Supabase makes central to its security model. RLS lets you define fine-grained access policies directly in the database — for example, 'users can only read their own rows' or 'admins can update any row in the orders table.' These policies are written as SQL expressions and enforced at the database level, meaning they apply regardless of how the data is accessed (API, direct connection, edge function). This is a fundamentally different security model from Firebase's security rules — it is more powerful because it uses full SQL, and more robust because it cannot be bypassed by client-side code. However, writing effective RLS policies requires solid SQL knowledge and careful testing.
Realtime Subscriptions
Supabase Realtime lets your application listen for changes in the database and receive updates instantly via WebSocket connections. You can subscribe to INSERT, UPDATE, and DELETE events on specific tables, filtered by columns or RLS policies. This enables live features like chat messages, collaborative editing, live dashboards, and real-time notifications without polling. Supabase Realtime also supports Presence (tracking which users are online) and Broadcast (sending arbitrary messages between clients) — features useful for building collaborative applications. The system scales to thousands of concurrent connections on paid plans.
Authentication and User Management
Supabase Auth (built on GoTrue) provides a complete authentication system supporting email/password, magic links, phone/SMS OTP, and over 20 OAuth providers including Google, GitHub, Apple, Discord, and Twitter. It handles email verification, password recovery, session management, and JWT token issuance. Auth integrates directly with RLS — the authenticated user's ID is available in RLS policies via auth.uid(), creating a seamless connection between who is logged in and what data they can access. Multi-factor authentication (TOTP) is supported, and enterprise features like SAML SSO are available on higher-tier plans.
Storage, Edge Functions, and pgvector
Supabase Storage provides S3-compatible file storage with the same RLS-based access control as the database. You can create storage buckets, upload files, generate signed URLs, and transform images (resize, crop, format conversion) on the fly. Edge Functions are server-side TypeScript functions that run on Deno Deploy, allowing you to execute custom backend logic — webhooks, third-party API calls, complex business logic — without managing servers. They deploy globally to edge locations for low latency. Finally, Supabase's integration with pgvector brings AI capabilities to your database: you can store and query vector embeddings directly in PostgreSQL, enabling semantic search, recommendation systems, and RAG (Retrieval-Augmented Generation) pipelines without a separate vector database like Pinecone or Weaviate.
Open Source and Portability
Supabase is fully open source under the Apache 2.0 license. You can self-host the entire stack using Docker — database, API gateway (PostgREST), Auth, Realtime, Storage, and Dashboard — on your own infrastructure. This eliminates vendor lock-in: if Supabase's hosted service shuts down or changes pricing, you can migrate to self-hosted or any PostgreSQL provider. This portability is Supabase's philosophical foundation and its strongest argument against proprietary alternatives like Firebase.
Pros & Cons
Pros
- ✓ Built on PostgreSQL — your data is fully portable, and you get ACID transactions, complex joins, extensions, and the entire SQL ecosystem
- ✓ Generous free tier includes 500 MB database, 1 GB file storage, 50,000 monthly active users for auth, and 500,000 edge function invocations
- ✓ Fully open source (Apache 2.0) with the option to self-host the entire stack via Docker, eliminating vendor lock-in
- ✓ Built-in Realtime subscriptions via WebSockets for live data, Presence for online status, and Broadcast for messaging between clients
- ✓ Native pgvector support for AI/ML vector embeddings — enables semantic search and RAG without a separate vector database
- ✓ Row Level Security provides database-level access control that is more powerful and harder to misconfigure than application-level rules
Cons
- ✗ Relatively young platform (founded 2020) — some features are still in beta, documentation has gaps, and breaking changes occur more frequently than mature platforms
- ✗ Smaller community and ecosystem compared to Firebase — fewer tutorials, Stack Overflow answers, third-party tools, and community plugins
- ✗ Edge Functions are limited compared to alternatives — Deno-only runtime, cold start latency, limited library compatibility, and no scheduled/cron function support natively
- ✗ Fewer official client SDKs than Firebase — strong JavaScript/TypeScript and Flutter support, but Python, Swift, and Kotlin libraries are community-maintained with varying quality
- ✗ Row Level Security, while powerful, has a steep learning curve and can cause confusing bugs when policies are misconfigured — queries silently return empty results instead of errors
Key Features
Use Cases
Startup Building a SaaS Product with User Authentication and Real-time Features
A startup uses Supabase Auth for user sign-up (Google OAuth + email/password), PostgreSQL for storing application data with RLS policies ensuring tenant isolation, and Realtime subscriptions for live collaboration features. The generous free tier supports the team through development and early traction without incurring costs, and the PostgreSQL foundation means they can migrate to a managed database provider if they outgrow Supabase.
AI Application Needing Vector Search and Traditional Data in One Database
A developer building a RAG-powered chatbot stores document embeddings using pgvector alongside traditional relational data (users, conversations, feedback) in the same Supabase PostgreSQL database. Semantic similarity search queries run alongside standard SQL queries with joins, eliminating the complexity and cost of maintaining a separate vector database like Pinecone.
Mobile App Replacing Firebase to Avoid Vendor Lock-in
A mobile app team migrates from Firebase to Supabase to gain SQL query flexibility, escape Firestore's complex pricing model, and ensure data portability. They use the Supabase Flutter SDK for the mobile client, Auth for social login, Storage for user-uploaded images with RLS-controlled access, and Edge Functions for third-party API integrations. The migration preserves their data in standard PostgreSQL.
Internal Tool with Fine-Grained Access Control
A company builds an internal admin dashboard where different departments see different data. PostgreSQL RLS policies enforce that marketing only sees campaign data, finance only sees revenue data, and executives see everything — all enforced at the database level. Supabase Auth with SAML SSO integrates with the company's identity provider, and the auto-generated REST API eliminates the need for a custom backend.
Integrations
Pricing
Free / $25/mo Pro
Supabase offers a free plan. Paid plans unlock additional features and higher limits.
Best For
Frequently Asked Questions
How does Supabase compare to Firebase?
The core difference is the database: Supabase uses PostgreSQL (relational, SQL, ACID-compliant) while Firebase uses Firestore (NoSQL, document-based). This means Supabase gives you complex queries, joins, transactions, and data portability that Firestore cannot match. Firebase has a more mature ecosystem, better documentation, more SDKs, tighter integration with Google Cloud, and features like Cloud Messaging (push notifications) and Remote Config that Supabase lacks. Choose Supabase if you want SQL, portability, and open source. Choose Firebase if you want the most mature ecosystem, extensive mobile SDKs, and tight Google Cloud integration.
Is Supabase production-ready?
Yes, with caveats. The core features — PostgreSQL database, Auth, Realtime, Storage, and the REST/GraphQL APIs — are stable and used in production by thousands of applications. Edge Functions and some newer features are still maturing. Supabase provides 99.9% uptime SLA on Pro plans and above. The platform handles significant scale — their largest customers process millions of requests per day. However, some developers report occasional issues with connection pooling under high concurrency and cold starts on Edge Functions. For mission-critical applications, consider the Pro plan ($25/month) or higher for dedicated resources and priority support.
Can I self-host Supabase, and should I?
Yes, Supabase provides Docker Compose files and Kubernetes Helm charts for self-hosting the entire stack. You should self-host if you need full data sovereignty (compliance requirements), want to avoid recurring SaaS costs at scale, or need custom configuration beyond what the hosted platform allows. However, self-hosting means you are responsible for backups, updates, security patches, scaling, and monitoring — significant operational overhead. For most teams, the hosted platform ($25/month for Pro) is more cost-effective when you factor in engineering time. Self-hosting makes sense for larger organizations with dedicated DevOps teams.
What is pgvector and why does it matter for AI applications?
pgvector is a PostgreSQL extension that adds vector similarity search to your database. It stores embedding vectors (numerical representations of text, images, or other data generated by AI models like OpenAI's text-embedding-ada-002) and performs efficient nearest-neighbor searches. This matters because most AI applications need vector search for features like semantic search, recommendations, and RAG (Retrieval-Augmented Generation). With Supabase + pgvector, you store vectors alongside your relational data in one database — no need for a separate service like Pinecone ($70+/month). Supabase provides helper functions and guides for common AI patterns.
What are the limits of Supabase's free tier?
The free tier includes: 500 MB PostgreSQL database, 1 GB file storage, 2 GB bandwidth, 50,000 monthly active users for Auth, 500,000 Edge Function invocations, and 200 concurrent Realtime connections. You can run up to 2 free projects. These limits are generous enough for development, prototyping, and small production apps. The main constraint is usually the 500 MB database — once your data grows, you need to upgrade to Pro ($25/month for 8 GB). Importantly, free-tier projects are paused after 7 days of inactivity, which means they are not suitable for production applications that need to be always available.
Supabase in Our Blog
Supabase Alternatives
Supabase Comparisons
Ready to try Supabase?
Visit Supabase →