Vector DB — which one and why?

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Answer

$(1) Pinecone: SaaS, ease of use, expensive at scale.$
$(2) Weaviate: OSS + SaaS, GraphQL, built-in vectorizer.$
$(3) Qdrant: OSS Rust, high performance, self-host friendly.$
$(4) Milvus: OSS, most scale-proven, complex ops.$
$(5) pgvector: Postgres extension, simple stack.$
$(6) FAISS: library not DB, best for offline.$
$(7) Chroma: embedded, dev-friendly.$
$(8) Elasticsearch / OpenSearch: mature + hybrid search.$
$Modern trend: pgvector for small teams, Qdrant/Milvus for scale.$

Check yourself — multiple choice

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Pinecone SaaS easy expensive / Weaviate OSS+SaaS GraphQL / Qdrant OSS Rust fast / Milvus scale-proven / pgvector Postgres simple / FAISS offline lib / Chroma embedded dev / ES hybrid; pgvector small, Qdrant/Milvus scale
Just one
Not real

Vector DB: Pinecone / Weaviate / Qdrant / Milvus / pgvector / FAISS / Chroma / ES.

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