Milvus vs Qdrant

Short answer

Milvus: Scalable open-source vector database for semantic search and RAG at large data volumes. Qdrant: Fast vector database for semantic search and RAG back-ends. They sit in different categories (Data labeling & vector databases and Data labeling & vector databases) but overlap: Both store embeddings and run similarity search with filtering, as the vector store behind RAG and semantic-search features.

Choose Qdrant if you want: simpler deploy (one container vs a multi-container stack).

Qdrant publishes no official RAM figure, so we cannot compare hosting cost directly.

Last updated · computed from each project's official docs and live GitHub data · sources

Milvus vs Qdrant side by side

MilvusQdrant
CategoryData labeling & vector databasesData labeling & vector databases
What it isScalable open-source vector database for semantic search and RAG at large data volumes.Fast vector database for semantic search and RAG back-ends.
LicenseApache-2.0Apache-2.0
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep license and notices.Permissive. Internal and commercial use allowed; keep license and notices.
StatusActiveActive
GitHub stars46.5k35.2k
Last commitOct 22, 2026Oct 21, 2026
Latest releasev3.0.3v1.19.2
Minimum hardware8 GB RAMNot published
Recommended hardware4 vCPU · 16 GB RAMNot published
RAM measured by usNot tested yet42 MiB idle, 566 MiB working (our test, v1.20.0, Oct 22, 2026)
GPUNot required / not statedNot required / not stated
Est. server costfrom €35.99/mo (recommended spec: €69.99/mo)from €11.99/mo (based on our test, not official)
Deploy methodDocker Compose (standalone)Docker
Known gotchas4 listed1 listed
TelemetryNot documentedOn by default
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not documentedNot applicable
Audit logNot documentedYes, free
RBACYes, freeYes, free
DetailsFull Milvus guide →Full Qdrant guide →

Key differences

  • Official hardware: Milvus: minimum 8 GB RAM (recommended 4 vCPU · 16 GB RAM). Qdrant: not published.
  • Est. server cost: Milvus: from €35.99/mo. Qdrant: not estimated (no official RAM figure).
  • Deploy: Milvus: Docker Compose (standalone) · multi-container stack. Qdrant: Docker · single container.
  • GitHub stars: Milvus: 46.5k. Qdrant: 35.2k.
  • Last commit: Milvus: Oct 22, 2026. Qdrant: Oct 21, 2026.
  • Latest release: Milvus: v3.0.3 (Oct 14, 2026). Qdrant: v1.19.2 (Oct 5, 2026).

Same for both: Category: Data labeling & vector databases; License: Apache-2.0 (Permissive); GPU: not required or not stated; Status: Active.

Milvus vs Qdrant: FAQ

Milvus or Qdrant: which should a small business choose?

Choose Qdrant if you want: simpler deploy (one container vs a multi-container stack). Qdrant publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, Milvus or Qdrant?

Milvus: from €35.99/mo. Qdrant: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.

How much hardware do Milvus and Qdrant need?

Milvus: minimum 8 GB RAM (recommended 4 vCPU · 16 GB RAM). Qdrant: not published.

What is the license difference between Milvus and Qdrant?

Milvus: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. Qdrant: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. This is a summary, not legal advice.

Is Milvus or Qdrant more actively maintained?

Milvus: Active, last commit Oct 22, 2026. Qdrant: Active, last commit Oct 21, 2026. GitHub data refreshed Oct 22, 2026.

Which is easier to deploy, Milvus or Qdrant?

Milvus installs via Docker Compose (standalone) (multi-container stack); Qdrant via Docker (single container). Milvus lists 4 known gotchas and Qdrant lists 1; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.