EU-headquartered product teams (any size) wanting OSS-licensed vector DB with strong performance per dollar, or global teams who prioritize recall-vs-cost benchmarks and Apache 2.0 licensing.
Teams whose decision is driven primarily by ecosystem breadth or LangChain-cookbook prevalence (Pinecone still ahead there), or workloads suited to pgvector.
What buyers actually pay
No verified data yet
No verified pricing data yet for Qdrant.
Be the first to contribute →Auto-verified certifications
Editorial: Strengths
- Apache 2.0 license; permissive open-source
- Rust implementation; strong recall-vs-cost in independent benchmarks
- Berlin-headquartered; EU data residency posture natural for DSGVO and RGPD
- Payload indexes give fast filtering on metadata fields
- Clean REST plus gRPC API; strong client library coverage
Editorial: Weaknesses
- Smaller third-party ecosystem than Pinecone
- Rapid feature velocity has produced occasional client-library rough edges
- Brand recognition still trails Pinecone and Weaviate in North America
Key features & integrations
- +Apache 2.0 open-source core (Rust)
- +Payload indexes for fast metadata filtering
- +HNSW with quantization (scalar, product, binary)
- +Sparse vectors and hybrid search
- +Multi-tenant collections with shard-level isolation
- +REST and gRPC API
- +Cluster mode and replication
Read our full ranking of Vector Database Software
Qdrant ranks #3 in our editorial review of 10 vector database software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.
Read the full rankingClosest alternatives in Vector Database Software
Contribute your verified deal price
Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for Qdrant; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).
Submit anonymously