These tools competes with

pgvectorvsQdrant

PostgreSQL extension for vector similarity search versus High-performance vector DB with filtering

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Choose pgvector when…

  • You're already on PostgreSQL
  • You want vector search without a separate database
  • SQL queries combined with embedding search are needed

Choose Qdrant when…

  • You need high-performance vector search in production
  • You want OSS with Rust-level performance
  • Filtering alongside vector search is important

Side-by-side comparison

Field
pgvector
Qdrant
Category
LLM Infrastructure
LLM Infrastructure
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
GitHub Stars
13,000
20,000
Health
75 Active
80 Active

pgvector

Adds vector similarity search to PostgreSQL. Perfect for teams already on Postgres who don't want to manage a separate vector DB.

Qdrant

Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.

Shared Connections6 tools both integrate with

Only pgvector (1)

Qdrant

Only Qdrant (6)

HaystackDifyChromaWeaviateVercel AI SDKpgvector

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