Home/Compare/milvus vs qdrant-client

Comparison

milvus vs qdrant-client

Verdict

Pick milvus if milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments; pick qdrant-client if qdrant-client is a Python-based client designed to interact efficiently with the Qdrant vector database for vector similarity searches.

Markdown twin · milvus alternatives · qdrant-client alternatives

GraphCanon updated Sep 20, 2026

16views this month

milvus logo

milvus

milvus-io/milvus

★ 46kpushed Sep 18, 2026
vs
qdrant-client logo

qdrant-client

qdrant/qdrant-client

★ 1.4kpushed Sep 18, 2026

Trust & integrity

Signalmilvusqdrant-client
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

milvus
Milvus is a high-performance, cloud-native vector database for scalable vector ANN search
qdrant-client
Python client for Qdrant vector search engine

Stars

milvus
46k
qdrant-client
1.4k

Forks

milvus
4.3k
qdrant-client
304

Open issues

milvus
1.5k
qdrant-client
196

Language

milvus
Go
qdrant-client
Python

Adopt for

milvus
Milvus is a high-performance, cloud-native vector database for scalable vector ANN search, supporting various indexing techniques and built for cloud-native environments.
qdrant-client
qdrant-client is a Python-based client designed to interact efficiently with the Qdrant vector database for vector similarity searches.

Persona

milvus
-
qdrant-client
-

Runtime

milvus
-
qdrant-client
-

License

milvus
Milvus is licensed under the Apache-2.0 license.
qdrant-client
Apache-2.0

Last pushed

milvus
Sep 18, 2026
qdrant-client
Sep 18, 2026

Categories

milvus
Data & Retrieval, Vector Databases
qdrant-client
Vector Databases

Trust and health

Days since push

milvus
0d
qdrant-client
1d

Open issues (now)

milvus
1.5k
qdrant-client
196

Stars delta

milvus
+750 (30d)
qdrant-client
+29 (30d)

Open issues delta

milvus
+303 (30d)
qdrant-client
+30 (30d)

OSV dependency advisories

milvus
Published findings
qdrant-client
No lockfile (source not queried)

Full report

qdrant-client
Trust report

Typed relationship

milvus alternative qdrant-clientMilvus is a high-performance cloud-native vector database similar to Qdrant, providing scalable vector ANN search.

Choose milvus if…

  • milvus is primarily Go; qdrant-client is Python.
  • Milvus is designed to be self-hosted and can be deployed in a cloud-native environment.
  • Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost..
  • Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run..
  • Milvus is a high-performance cloud-native vector database similar to Qdrant, providing scalable vector ANN search.
  • Tags unique to milvus: anns, cloud-native, diskann, distributed.
  • Also covers Data & Retrieval.
  • milvus ships Docker support for self-hosted deployment.
  • When you need a high-performance vector database that supports scalable approximate nearest neighbor search.

When NOT to use milvus

  • If your project does not require vector similarity search or approximate nearest neighbor search capabilities.
  • When the project is not cloud-native and does not benefit from cloud-native optimizations.
  • If the project's requirements are better met by a non-vector database or a different type of database.
  • When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs.

Choose qdrant-client if…

  • qdrant-client is primarily Python; milvus is Go.
  • Milvus is a high-performance cloud-native vector database similar to Qdrant, providing scalable vector ANN search.
  • Tags unique to qdrant-client: qdrant, vector-database, vector-search, vector-search-engine.
  • - You are working on applications that require efficient management and querying of high-dimensional vectors, such as embeddings from natural language processing tasks.

When NOT to use qdrant-client

  • - You require cross-language support beyond Python for your vector database operations.
  • - Your application does not benefit from or does not need the distributed architecture Qdrant offers, preferring instead centralized vector storage methods.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: milvus 46k · qdrant-client 1.4k (synced Sep 20, 2026).

Common questions

What is the difference between milvus and qdrant-client?
milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. qdrant-client: Python client for Qdrant vector search engine. See the comparison table for live GitHub stats and shared categories.
When should I choose milvus over qdrant-client?
Choose milvus over qdrant-client when milvus is primarily Go; qdrant-client is Python; Milvus is designed to be self-hosted and can be deployed in a cloud-native environment; Pricing: Milvus is free to use under the Apache-2.0 license, but additional services or support may come at a cost.; Requirements: Min 4 GB RAM; Requires Docker; Third-party dependencies must be installed before using Milvus.; Milvus is built with Go and requires a Go environment to run.; Milvus is a high-performance cloud-native vector database similar to Qdrant, providing scalable vector ANN search; Tags unique to milvus: anns, cloud-native, diskann, distributed; Also covers Data & Retrieval; milvus ships Docker support for self-hosted deployment; When you need a high-performance vector database that supports scalable approximate nearest neighbor search.
When should I choose qdrant-client over milvus?
Choose qdrant-client over milvus when qdrant-client is primarily Python; milvus is Go; Milvus is a high-performance cloud-native vector database similar to Qdrant, providing scalable vector ANN search; Tags unique to qdrant-client: qdrant, vector-database, vector-search, vector-search-engine; - You are working on applications that require efficient management and querying of high-dimensional vectors, such as embeddings from natural language processing tasks.
When should I avoid milvus?
If your project does not require vector similarity search or approximate nearest neighbor search capabilities. When the project is not cloud-native and does not benefit from cloud-native optimizations. If the project's requirements are better met by a non-vector database or a different type of database. When the specific indexing techniques and performance characteristics of Milvus do not align with your project's needs.
When should I avoid qdrant-client?
- You require cross-language support beyond Python for your vector database operations. - Your application does not benefit from or does not need the distributed architecture Qdrant offers, preferring instead centralized vector storage methods.
Is milvus or qdrant-client more popular on GitHub?
milvus has more GitHub stars (46,152 vs 1,359). Stars measure visibility, not whether either tool fits your constraints.
Are milvus and qdrant-client open source?
Yes - both are open-source projects on GitHub (milvus: Apache-2.0, qdrant-client: Apache-2.0).
Where can I find alternatives to milvus or qdrant-client?
GraphCanon lists graph-backed alternatives at milvus alternatives and qdrant-client alternatives (milvus markdown twin, qdrant-client markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, milvus or qdrant-client?
milvus: Very active. qdrant-client: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for milvus and qdrant-client?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: milvus trust report; qdrant-client trust report.

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