AI StackPicker

Milvus vs Qdrant (2026)

A neutral, data-driven comparison — live metrics, use-case guidance and FAQ to help you pick.

At a glance

Milvus ★44,805
Qdrant ★32,389
Milvus ⬇5,919,923
Qdrant ⬇23,963,183
MilvusQdrant
GitHub stars44,80532,389
PyPI downloads / mo5,919,92323,963,183
LicenseApache-2.0Apache-2.0
Typedatabasedatabase
Self-hostableYesYes
Managed optionZilliz CloudQdrant Cloud
Latest releasev2.6.18v1.18.2

Which should you choose?

Choose Milvus if…

  • You need to scale to billions of vectors with a distributed, cloud-native architecture
  • You want GPU-accelerated indexing and search
  • You already run Kubernetes and can handle a heavier deployment

Choose Qdrant if…

  • You want a lightweight, single-binary engine that's simple to deploy and operate
  • Your scale is small-to-large (millions to low billions) rather than massive
  • You value strong metadata filtering and a lean Rust core

Milvus is built for massive, distributed scale (and GPU), but is heavier to run; Qdrant is lighter and simpler to operate while still production-grade. Choose Milvus for billion-scale on Kubernetes; Qdrant for simpler ops at small-to-large scale.

💡 Engineer's take: your hands-on notes from real usage go here — the one thing a data table cannot give a reader.

What they are

Milvus: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

FAQ

Is Milvus or Qdrant better for large scale?

Milvus is designed for distributed, billion-scale workloads and GPU acceleration; Qdrant scales well too but is lighter-weight. For the very largest deployments Milvus has the edge; for simpler ops, Qdrant.

Is Qdrant easier to deploy than Milvus?

Generally yes — Qdrant ships as a single binary/container, while Milvus has a more distributed architecture often run on Kubernetes.

Do both support metadata filtering?

Yes, both support filtered vector search; Qdrant is particularly known for its payload filtering.

Are both open-source?

Yes — Milvus (Apache-2.0) and Qdrant (Apache-2.0), and both offer managed clouds (Zilliz Cloud for Milvus, Qdrant Cloud).

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