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Supabase (with pgvector)
NewVerified
Open-source PostgreSQL platform with built-in vector search for AI.
Overview
Supabase is a PostgreSQL-based backend-as-a-service platform that includes pgvector for AI embeddings and semantic search. It's designed for developers who need a Firebase alternative with full SQL capabilities, real-time features, and native vector database functionality. The open-source architecture means you can self-host or use their managed cloud service.
Pros
- Native pgvector support enables semantic search without external tools
- Full PostgreSQL power with real-time subscriptions and complex queries
- Self-hostable open-source codebase avoids vendor lock-in
- Generous free tier covers prototyping and small production apps
- RESTful and GraphQL APIs auto-generated from your database schema
✕ Cons
- Steeper learning curve than Firebase for non-SQL developers
- Smaller ecosystem and fewer pre-built integrations than competitors
- Self-hosting requires DevOps knowledge and infrastructure maintenance
Key Features
PostgreSQL with pgvector
Real-time subscriptions
Auto-generated REST/GraphQL APIs
Row-level security policies
Vector search and embeddings
Authentication and authorization
Use Cases
Startups building AI applications with semantic search capabilitiesDevelopers needing PostgreSQL backend without Firebase limitationsCompanies requiring self-hosted vector databases for privacyTeams building real-time collaborative applications with AI features
Best For
Full-stack developersAI/ML engineersStartup foundersReal-time app buildersPostgreSQL-first teams
Frequently Asked Questions
What are the pricing options for Supabase?▾
Supabase offers a free tier with 500 MB database storage and limited API requests, plus paid plans starting around $25/month for production use. Self-hosting is also available at no cost if you manage your own infrastructure.
How steep is the learning curve for getting started?▾
Supabase is relatively straightforward for developers familiar with PostgreSQL and REST APIs, with good documentation and a visual dashboard. However, optimizing vector search and real-time subscriptions requires intermediate database knowledge.
What integrations and APIs does Supabase provide?▾
Supabase exposes a REST API automatically from your PostgreSQL schema, offers SDKs for JavaScript, Python, and other languages, and integrates with popular frameworks like Next.js and React. It also supports webhooks and can connect to third-party services via custom functions.
What are the main limitations of Supabase?▾
Supabase's vector search performance may lag behind specialized vector databases at extreme scale, and managing complex real-time subscriptions can become resource-intensive. Self-hosting requires more operational overhead than the managed service.
When is Supabase the best choice?▾
It's ideal for startups and teams building AI-powered applications that need both traditional relational data and vector embeddings in one system. It works well for real-time collaborative apps, rapid prototyping, and projects where open-source flexibility is valued.
Pricing Plans
Free
Custom
- Unlimited API requests
- 50,000 monthly active users
- 500 MB database size
- 5 GB egress
ProMost Popular
$25/monthly
- 100,000 monthly active users
- 8 GB disk size per project
- 250 GB egress
- $10/month compute credits included
Team
$599/monthly
- Everything in Pro Plan
- SOC2 & ISO 27001 compliance
- SSO for Supabase Dashboard
- Priority email support with SLAs
Enterprise
Custom
- Custom pricing and configuration
- Designated support manager
- Uptime SLAs
- 24×7×365 premium enterprise support
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