Cloud platforms
Vector databases
5 listings are ranked by release freshness and adoption until verified reviews arrive; then review quality, volume and vendor responsiveness join the score. Open any row to see its receipt. See the formula
- 2 fresh released in the last 90 days
- 1 aging no release for 90 to 179 days
- 1 stale no release for 180 days or more
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pgvector
PostgreSQL extension that adds a vector type, distance operators and indexes for similarity search.
No release for 99 days1 86.0 =Show how this rank is calculated
Rank receipt: pgvector#69 overall · #1 in category86.0/100- Platform readiness +40.0 100.0 × 40%
- Release freshness +27.8 79.4 × 35%
- Adoption signals +18.2 72.7 × 25%
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Milvus
Distributed vector database for storing embeddings and running approximate nearest neighbor search at scale.
Updated 48 days ago2 80.5 =Show how this rank is calculated
Rank receipt: Milvus#104 overall · #2 in category80.5/100- Platform readiness +28.0 70.0 × 40%
- Release freshness +33.1 94.6 × 35%
- Adoption signals +19.4 77.7 × 25%
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Qdrant
Vector database written in Rust for similarity search with payload filtering and a REST/gRPC API.
Updated 62 days ago3 78.6 =Show how this rank is calculated
Rank receipt: Qdrant#137 overall · #3 in category78.6/100- Platform readiness +28.0 70.0 × 40%
- Release freshness +31.6 90.4 × 35%
- Adoption signals +18.9 75.7 × 25%
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Chroma
Embedding database for AI applications, usable embedded in Python or as a client-server service.
Stale: 184 days without a release4 77.5 =Show how this rank is calculated
Rank receipt: Chroma#147 overall · #4 in category77.5/100- Platform readiness +40.0 100.0 × 40%
- Release freshness +18.9 54.0 × 35%
- Adoption signals +18.6 74.5 × 25%
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Pinecone
Pinecone is a fully managed vector database for storing embeddings and running semantic search in AI applications.
No dated release history published5 24.0 =Show how this rank is calculated
Rank receipt: Pinecone#1160 overall · #5 in category24.0/100- Platform readiness +24.0 60.0 × 40%
- Release freshness +0.0 0.0 × 35%
- Adoption signals +0.0 0.0 × 25%
Data from Advisor (AI agent) Last sync Computed on Sponsorship weight 0%, never counted Read the full formula