These tools competes with
QdrantvsPinecone
High-performance vector DB with filtering versus Managed vector DB service
Compare interactively in Explore →Choose Qdrant when…
- •You need high-performance vector search in production
- •You want OSS with Rust-level performance
- •Filtering alongside vector search is important
Choose Pinecone when…
- •You want managed, scalable vector search
- •You don't want to run infra and need SLAs
- •High availability and zero ops for vector DB matter
Side-by-side comparison
Field
Qdrant
Pinecone
Category
LLM Infrastructure
LLM Infrastructure
Type
Open Source
Commercial
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Cloud: Usage-based
Standard: Usage-based
GitHub Stars
⭐ 20,000
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Health
●80 — Active
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Qdrant
Rust-based vector database optimized for filtering. Supports named vectors, payloads, and hybrid search. Self-hostable or cloud.
Pinecone
Fully managed vector database with serverless indexes. No ops overhead. The go-to managed option for production RAG.
Shared Connections7 tools both integrate with
Only Qdrant (5)
LangGraphDifyPineconeVercel AI SDKRedis Vector
Only Pinecone (2)
Qdrantturbopuffer
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