Open-Source AI · Vector database

Qdrant vs Milvus

Qdrant vs Milvus compared for 2026 — features, license, ease of use, performance and which one to choose. Fast Rust-based vector search vs Billion-scale vector database.

Updated regularly · curated by olud.ai

Choose Qdrant for teams wanting fast, simple vector search. Choose Milvus for teams needing billion-scale vector search.

Qdrant vs Milvus at a glance

SpecQdrantMilvus
CategoryVector databaseVector database
TypeVector databaseVector database
LicenseApache-2.0Apache-2.0
Runs locallySelf-hostedSelf-hosted
Primary languageRustGo / C++
Ease of useBeginnerAdvanced
Best forteams wanting fast, simple vector searchteams needing billion-scale vector search
GitHub stars33.4k45.3k

Feature comparison

FeatureQdrantMilvus
Self-hostable
Managed cloud
Metadata filtering
Hybrid search
Horizontal scaling
REST API

How Qdrant and Milvus score

🏆 Overall edge: Qdrant — 4.7 vs 4.2 / 5
CriterionQdrantMilvus
Popularity4.04.0
Maintenance5.05.0
Ease of use5.02.5
Privacy4.54.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Qdrant

Vector database · Apache-2.0

Qdrant is a high-performance vector database written in Rust, with rich filtering, payloads and a simple API for production semantic search and RAG.

  • Very fast, written in Rust
  • Rich payload filtering
  • Simple API and easy self-hosting
See the Qdrant page →

Milvus

Vector database · Apache-2.0

Milvus is a cloud-native vector database built for massive scale, with multiple index types and a distributed architecture for billions of vectors.

  • Scales to billions of vectors
  • Many index types for tuning
  • Cloud-native, distributed architecture
See the Milvus page →

Key differences

Qdrant is vector database, while Milvus is vector database. Qdrant leans more beginner-friendly, whereas Milvus is more suited to advanced users. In short, Qdrant fits teams wanting fast, simple vector search, and Milvus fits teams needing billion-scale vector search.

Which should you choose?

Choose Qdrant for teams wanting fast, simple vector search. Choose Milvus for teams needing billion-scale vector search.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Qdrant or Milvus easier to use?

Qdrant is generally the easier of the two to get started with, while Milvus rewards more setup with more control.

Are Qdrant and Milvus free?

Qdrant is free and open source (Apache-2.0), and Milvus is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Qdrant and Milvus locally?

Qdrant: self-hosted · Milvus: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Qdrant vs Milvus — which should I pick in 2026?

Choose Qdrant for teams wanting fast, simple vector search. Choose Milvus for teams needing billion-scale vector search.

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