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Milvus vs Qdrant(2026)

Milvus is better for teams that need best for large-scale deployments. Qdrant is the stronger choice if best raw performance. Milvus is open-source (from $0) and Qdrant is open-source (from $0).

Full feature breakdown, pricing details, and pros & cons below.

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Milvus logo

Milvus

open-source

Milvus is an open-source, cloud-native vector database built for scalable similarity search. Designed for billion-scale vectors with high throughput and low latency.

Starting at $0

Visit Milvus
Qdrant logo

Qdrant

open-source

Qdrant is a high-performance vector similarity search engine written in Rust. It offers rich filtering, payload indexing, and a managed cloud — built for production AI applications.

Starting at $0

Visit Qdrant

How Do Milvus and Qdrant Compare on Features?

FeatureMilvusQdrant
Pricing modelopen-sourceopen-source
Starting price$0$0
Open source
Billion-scale vectors
Multiple index types (IVF, HNSW)
Cloud-native (Kubernetes)
Attu GUI
Multi-vector search
Managed (Zilliz Cloud)
Rust-based (fast)
Rich payload filtering
Named vectors
Managed cloud
gRPC + REST
Multi-tenancy
Quantization support

Milvus Pros and Cons vs Qdrant

M

Milvus

+Best for large-scale deployments
+Active CNCF project
+Multiple index options
+High throughput
Complex Kubernetes deployment
Heavy resource requirements
Steep learning curve
Q

Qdrant

+Best raw performance
+Rich filtering options
+Low memory footprint
+Production-ready
Smaller community than Weaviate
Cloud tier less polished
Less built-in ML model support

Should You Use Milvus or Qdrant?

Choose Milvus if…

  • Best for large-scale deployments
  • Active CNCF project
  • Multiple index options

Choose Qdrant if…

  • Best raw performance
  • Rich filtering options
  • Low memory footprint

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