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SupabaseOpen-source backend platform built on Postgres with auth, storage, and realtime APIs.

4.7 (6)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Supabase is an open-source backend-as-a-service that gives developers a full Postgres database along with the tools needed to ship modern applications. It bundles authentication, file storage, instant REST and GraphQL APIs, realtime subscriptions, and serverless edge functions into a single managed platform. While not strictly an AI tool, Supabase has become a popular backend choice for AI projects thanks to its pgvector support for embeddings and similarity search. Teams use it to store vectors, manage user data, and power retrieval-augmented generation workflows alongside traditional app features. Developers can self-host the stack or use the hosted cloud service, with client libraries available for JavaScript, Python, Dart, Swift, and other languages.

Key features

  • Managed Postgres database with extensions
  • Built-in authentication and user management
  • Object storage with access controls
  • Realtime subscriptions over websockets
  • Vector embeddings via pgvector
  • Edge functions and auto-generated APIs

Pricing

Model
Freemium
Category
AI Agents
Rating
4.7 / 5 (6)

Use cases

RAG Vector Store for AI Apps

Use pgvector to store and query embeddings for retrieval-augmented generation, combining semantic search with relational user data in one Postgres database.

Full-Stack App Backend

Ship modern web and mobile apps quickly using built-in auth, file storage, and auto-generated REST and GraphQL APIs without writing custom backend code.

Realtime Collaborative Features

Power chat, live dashboards, and multi-user collaboration with realtime subscriptions over websockets backed by Postgres change streams.

Self-Hosted Backend for Data Control

Deploy the entire open-source Supabase stack on your own infrastructure to retain full data ownership and avoid vendor lock-in while keeping standard Postgres compatibility.

Pros & Cons

Pros

  • Fully open source and self-hostable
  • Built on standard Postgres with no lock-in
  • pgvector support for AI and embeddings
  • Generous free tier for prototyping
  • Integrated auth, storage, and realtime

Cons

  • Some advanced features still maturing
  • Row-level security has a learning curve
  • Cold starts on edge functions
  • Scaling large workloads can get pricey

Reviews

4.7

Average from 6 ratings.

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Elena Rossi

Elena Rossi

Apr 8, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on built-in authentication and user management, and fully open source and self-hostable caught me off guard. still, I'd recommend giving it a real trial.

HT

Hiroshi Tanaka

Apr 4, 2026

Solid for our team

We rolled this out across the team last quarter and pgvector support for AI and embeddings. Built-in authentication and user management fits neatly into how we already work, and built-in authentication and user management removed a step we used to do by hand. Cold starts on edge functions, which is the main caveat, but it has held up under daily use.

Sofia Lindqvist

Sofia Lindqvist

Dec 5, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: managed Postgres database with extensions and fully open source and self-hostable. On balance the feature set — especially vector embeddings via pgvector — justifies the 5 stars for our use case.

WC

Wei Chen

Oct 1, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is vector embeddings via pgvector — handled better than most — and built on standard Postgres with no lock-in. Scaling large workloads can get pricey is my one real gripe. Worth the time if this is your use case.

Mei-Ling Wong

Mei-Ling Wong

Jul 25, 2025

Use it every day

Honestly didn't expect to like it this much. Vector embeddings via pgvector is exactly what I needed, and generous free tier for prototyping. but I reach for it almost every day now and it just clicks.

Naomi Suzuki

Naomi Suzuki

Jun 8, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: realtime subscriptions over websockets and fully open source and self-hostable. On balance the feature set — especially managed Postgres database with extensions — justifies the 5 stars for our use case.

Q&A

What are the limitations of Supabase?

Some advanced features are still maturing, and scaling large workloads can get pricey, with cold starts on edge functions being another limitation.

Asked by Grzegorz Lewandowski · Jun 28, 2026

Can I use Supabase for AI projects?

Yes, Supabase supports pgvector for vector embeddings and similarity search, making it a popular choice for AI projects.

Asked by Hiroshi Tanaka · Jun 9, 2026

What programming languages are supported?

Client libraries are available for JavaScript, Python, Dart, Swift, and other languages.

Asked by Nils Johansson · Apr 22, 2026

Is Supabase free?

Supabase has a generous free tier for prototyping, and it's also open-source and self-hostable.

Asked by Ola Eriksen · Mar 27, 2026

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