Qdrant vs Weaviate

Qdrant

Weaviate

Qdrant · 13 features

• BYOC (Hybrid Cloud) — Managed Qdrant in your cloud account.
• Cloud Inference — Hosted embedding models for free tokens.
• Cluster Monitoring — Prometheus metrics + health.
• Collections — Typed collections with named vectors + payload schema.
• Distributed — Horizontal sharding + Raft replication.
• Hybrid Search — Sparse + dense + keyword in one query.
• Multi-Vector — Multiple vectors per point (text + image, etc.).
• Open Source — Apache 2.0 licensed.
• Payload Filters — Rich filter DSL with indexed fields.
• Quantization — Scalar + product + binary for memory reduction.
• RBAC — API-key scopes + roles.
• Snapshots + Restore — Backup + DR primitives.
• Sparse Vectors — BM25 + SPLADE sparse embeddings natively.

Weaviate · 13 features

• Backups — S3, GCS, Azure Blob backup destinations.
• BYOC — Run managed Weaviate in your own cloud account.
• Compression (PQ/BQ/RQ) — Reduce vector memory footprint by up to 32x.
• Dynamic Indexing — HNSW + flat + dynamic index selection.
• Generative Search — Search + RAG answers in one API call.
• Hybrid Search — Combine BM25 + dense vector search in one query.
• Modular Vectorizers — 60+ plug-in vectorizers + generative AI modules.
• Multi-Tenancy — Per-tenant isolated vector stores in one cluster.
• Query Agent (AI) — Agentic natural-language query generator.
• RBAC — Role-based access control for collections + tenants.
• Replication — Multi-node async + sync replication.
• Self-Host (OSS) — BSD-3 licensed. Docker + k8s Helm.
• Structured Filters — Metadata filters pre + post vector search.