# Qdrant vs Milvus: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Qdrant wins on Rust single-node memory efficiency, sub-3.4ms sparse+dense hybrid filtering, and 77% lower RAM footprint via scalar/binary quantization (94.0), while Milvus wins on multi-billion-vector distributed cloud sharding (91.5).

- **Category**: Vector Database & Hybrid RAG Retrieval Engine
- **Canonical URL**: https://exactbaseline.com/vs/qdrant-vs-milvus
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## Qdrant Key Advantages
- 35k+ GitHub stars; pure Rust engine with zero garbage-collection latency spikes
- Built-in sparse + dense hybrid search and payload filtering in a single query
- Binary and scalar quantization cuts memory usage by 77% (420MB per 1M vectors)

## Milvus Key Advantages
- 46k+ GitHub stars; battle-tested distributed storage/compute separation for 1B+ vectors
- Multi-tenant partition keys and GPU-acceleratedKnowhere indexing (CAGRA)
- Broad enterprise ecosystem with Zilliz Cloud and Kubernetes Operator support