Comparison
milvus vs qdrant-client
Verdict
Pick milvus if milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search; 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 today
vs
Trust & integrity
| Signal | milvus | qdrant-client |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- High-performance cloud-native vector database
- qdrant-client
- Python client for Qdrant vector search engine
Stars
- milvus
- 45k
- qdrant-client
- 1.3k
Forks
- milvus
- 4.1k
- qdrant-client
- 275
Open issues
- milvus
- 1.2k
- qdrant-client
- 189
Language
- milvus
- Go
- qdrant-client
- Python
Adopt for
- milvus
- Milvus is a high-performance cloud-native vector database, optimized for scalable vector ANN search.
- 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
- Apache-2.0
- qdrant-client
- Apache-2.0
Last pushed
- milvus
- Jul 28, 2026
- qdrant-client
- Aug 21, 2026
Categories
- milvus
- Vector Databases
- qdrant-client
- Vector Databases
Trust and health
Open issues (now)
- milvus
- 1.2k
- qdrant-client
- 189
Stars delta
- milvus
- Unknown
- qdrant-client
- +16 (30d)
Open issues delta
- milvus
- Unknown
- qdrant-client
- +23 (30d)
OSV dependency advisories
- milvus
- Published findings
- qdrant-client
- No lockfile (source not queried)
Full report
- milvus
- Trust 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.
- Pricing: Milvus is open-source under Apache-2.0 license..
- Requirements: Min 4 GB RAM.
- 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.
- milvus ships Docker support for self-hosted deployment.
- Use Milvus when you need to perform efficient vector similarity searches specifically leveraging the Approximate Nearest Neighbor (ANN) algorithm.
When NOT to use milvus
- Avoid Milvus when you need immediate native compatibility with FAISS or similar standalone libraries as it has distinct features tailored to its own ecosystem.
- Do not use Milvus if your application strictly requires real-time indexing updates and low-latency search operations, since optimizing for ANN search may introduce trade-offs in these areas.
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 (milvus-io/milvus) · observed Jul 28, 2026
- GitHub forks (milvus-io/milvus) · observed Jul 28, 2026
- Last push (milvus-io/milvus) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (qdrant/qdrant-client) · observed Aug 21, 2026
- GitHub forks (qdrant/qdrant-client) · observed Aug 21, 2026
- Last push (qdrant/qdrant-client) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: milvus 45k · qdrant-client 1.3k (synced Jul 28, 2026).
Common questions
- What is the difference between milvus and qdrant-client?
- milvus: High-performance cloud-native vector database. 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; Pricing: Milvus is open-source under Apache-2.0 license.; Requirements: Min 4 GB RAM; 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; milvus ships Docker support for self-hosted deployment; Use Milvus when you need to perform efficient vector similarity searches specifically leveraging the Approximate Nearest Neighbor (ANN) algorithm.
- 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?
- Avoid Milvus when you need immediate native compatibility with FAISS or similar standalone libraries as it has distinct features tailored to its own ecosystem. Do not use Milvus if your application strictly requires real-time indexing updates and low-latency search operations, since optimizing for ANN search may introduce trade-offs in these areas.
- 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 (45,402 vs 1,346). 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.