Supabase / supabase.com
Open source Firebase alternative with built-in vector storage, AI Edge Functions, and database AI assistant, used widely as the backend for AI applications.
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
2
Supabase is an open source Firebase alternative that has become one of the most popular backend platforms for building web applications, and its first-class support for vector storage has made it a common choice for AI application backends. The combination of PostgreSQL database, authentication, storage, edge functions, and vector search in a single platform reduces the number of services required to build a complete AI application.
The pgvector extension, built into Supabase's PostgreSQL database, enables storing and querying vector embeddings directly in the same database as the rest of the application data. Rather than maintaining a separate vector database like Pinecone alongside a standard database, teams can store vectors in Supabase alongside their user data, simplifying the infrastructure stack significantly for many RAG and semantic search applications.
The Supabase AI assistant, accessible within the Supabase dashboard, provides natural language interaction with the database — writing SQL queries, explaining table schemas, and suggesting optimisations. For developers who are not SQL experts, this lowers the barrier to database management.
Edge Functions, Supabase's serverless function offering, are commonly used to host AI logic — calling LLM APIs, processing vectors, and returning results. The proximity to the database reduces latency for database-intensive AI workflows.
Supabase AI runs as ml platform software built around text and code workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating Supabase AI.
Built-in vector embedding storage and similarity search within PostgreSQL, eliminating the need for a separate vector database for many applications.
Natural language interface for writing SQL queries, explaining schemas, and suggesting database optimisations within the Supabase dashboard.
Serverless functions co-located with the database for hosting AI logic including LLM API calls with low database query latency.
Free plan with 500MB database, 1GB storage. Pro $25/month (8GB database, 100GB storage). Team $599/month. Enterprise custom pricing. Vector storage included in all plans.
Model
Freemium
Starting price
$25/mo
Free trial
No
Pinecone and Weaviate are dedicated vector databases with better performance at scale. Firebase is Google's competing backend platform without vector support. PlanetScale is a MySQL alternative. Neon is a serverless PostgreSQL alternative.
A side-by-side look at the closest alternative in this category.
Supabase AI
Supabase
Weaviate
Weaviate
Key facts about model providers, platforms, and team support.
Model Provider
Supabase, OpenAI
Platforms
Web, API
Deployment
SaaS, Open Source, Self-hosted
Integrations
Next.js, React, Flutter, Python, LangChain, LlamaIndex, Lovable, Bolt.new
Team Collaboration
No
Launch Year
2020
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II certified. GDPR compliant. Open source self-hosted option for complete data control. Enterprise includes data handling agreements.
Review Supabase's data handling policy. Self-hosted deployment provides complete data control. Cloud version processes data on Supabase's infrastructure. Enterprise includes data processing agreements.
Editorial Verdict
Supabase is the best backend platform for AI application developers who want a unified PostgreSQL database with built-in vector support. For specialised vector search at large scale, Pinecone or Weaviate provide better performance.
Last verified July 24, 2026.
The free plan is generous and has made Supabase the default backend for many AI hackathon projects and startups. Lovable, Bolt.new, and similar app generators use Supabase as the default backend for generated applications.
For teams that need a separate managed vector database at scale, Pinecone or Weaviate provide more specialised vector infrastructure. Supabase's vector support is most compelling when the team benefits from the unified data platform rather than optimising for vector search performance alone.
Free plan with 500MB database, 1GB storage. Pro $25/month (8GB database, 100GB storage). Team $599/month. Enterprise custom pricing. Vector storage included in all plans.
Open source self-hosted free. Cloud sandbox free. Standard cloud from $25/month. Enterprise cloud custom pricing.
SOC 2 Type II certified. GDPR compliant. Open source self-hosted option for complete data control. Enterprise includes data handling agreements.
SOC 2 Type II. GDPR compliant. Open source self-hosted provides complete data control. Enterprise cloud includes data handling agreements.
Review Supabase's data handling policy. Self-hosted deployment provides complete data control. Cloud version processes data on Supabase's infrastructure. Enterprise includes data processing agreements.
Open source self-hosted provides full data control. Managed cloud processes data on Weaviate infrastructure. Review privacy policy for cloud deployments.
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