
Supabase
Open-source backend platform built on Postgres with auth, storage, and realtime APIs.
Ülevaade
Põhifunktsioonid
- 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
Kasutusjuhud
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.
Plussid ja miinused
Plussid
- 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
Miinused
- Some advanced features still maturing
- Row-level security has a learning curve
- Cold starts on edge functions
- Scaling large workloads can get pricey
Arvustused
Keskmine 6 hinnangust.
Logi sisse arvustuse jätmiseks.
Elena Rossi
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.
Hiroshi Tanaka
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
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.
Wei Chen
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
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
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.
Küsimused
Küsimusi pole — esita esimene.
Esita küsimus
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