Supabase Vector
Supabase's managed pgvector — combined Postgres + vector store; popular default for OSS LLM apps. Supabase $80M Series C 2024.
At a glance
- Type
- Postgres + pgvector cloud
- Tier
- T1
- Section
- Search platforms (non-memory)
- Created
- 2023
- Latest release
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- License
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- GitHub
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- Pricing
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- Funding
- Supabase Inc raised $116M Series C 2024-04 ($2B valuation; Peak XV led).
Taxonomy
- storage
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- retrieval
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- persistence
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- update
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- unit
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- governance
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- conflict
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When to use
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Pros & cons
Pros
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Cons
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Claims & capabilities
Supabase total funding $194M through Series C.
Technical surface
- API surface
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- Backend storage
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- Deployment
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- Embedding model
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- Multi-tenancy
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- MCP
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- A2A
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- OpenTelemetry
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Similar systems
Other search platforms (non-memory) in the catalog, ranked by inbound references.
- PostgreSQL pgvector T1
Open-source Postgres extension for vector similarity — HNSW and IVFFlat indexes; widely deployed (Supabase, Neon, AWS RDS, Crunchy, Azure).
- Algolia T1
Search-as-a-service API for instant search experiences — NeuralSearch (vector) + lexical. Adopted by 12000+ companies including LVMH, Stripe.
- Elastic Cloud T1
Elastic's managed Elasticsearch cloud — vector search (ELSER reranker, dense vectors), full-text, observability, security. Public (NYSE: ESTC).
- Meilisearch (Cloud) T2
French open-source search engine — fast, typo-tolerant, vector search beta. Meilisearch Cloud commercial.
- OpenSearch (AWS) T1
AWS-led fork of Elasticsearch 7 — Apache-licensed; k-NN plugin, OpenSearch ML, neural-search. Substrate beneath AWS OpenSearch Service.
- Qdrant Cloud T1
Hosted managed Qdrant cloud — multi-cloud single-tenant clusters; hybrid cloud private deployment; widely used as a memory backend (Mem0 default).