Home/Compare/milvus vs magnitude

Comparison

milvus vs magnitude

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 magnitude if magnitude is a Python library for handling vector embeddings efficiently and quickly. It integrates with several popular embedding methods.

Markdown twin · milvus alternatives · magnitude alternatives

GraphCanon updated Sep 20, 2026

milvus logo

milvus

milvus-io/milvus

★ 46kpushed Sep 18, 2026
vs
magnitude logo

magnitude

plasticityai/magnitude

★ 1.7kpushed Aug 3, 2023

Trust & integrity

Signalmilvusmagnitude
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (1144d 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
magnitude
A fast, efficient universal vector embedding utility package.

Stars

milvus
46k
magnitude
1.7k

Forks

milvus
4.3k
magnitude
123

Open issues

milvus
1.5k
magnitude
41

Language

milvus
Go
magnitude
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.
magnitude
Magnitude is a Python library for handling vector embeddings efficiently and quickly. It integrates with several popular embedding methods.

Persona

milvus
-
magnitude
-

Runtime

milvus
-
magnitude
-

License

milvus
Milvus is licensed under the Apache-2.0 license.
magnitude
MIT

Last pushed

milvus
Sep 18, 2026
magnitude
Aug 3, 2023

Categories

milvus
Data & Retrieval, Vector Databases
magnitude
Data & Retrieval, Vector Databases

Trust and health

Maintenance

milvus
Very active (96%)
magnitude
Dormant (18%)

Days since push

milvus
0d
magnitude
1144d

Open issues (now)

milvus
1.5k
magnitude
41

Stars delta

milvus
+750 (30d)
magnitude
+7 (30d)

Open issues delta

milvus
+303 (30d)
magnitude
0 (30d)

OSV dependency advisories

milvus
Published findings
magnitude
No lockfile (source not queried)

Full report

magnitude
Trust report

Choose milvus if…

  • milvus is primarily Go; magnitude is Python.
  • License: milvus is Apache-2.0, magnitude is MIT.
  • 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..
  • Tags unique to milvus: anns, cloud-native, diskann, distributed.
  • 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 magnitude if…

  • magnitude is primarily Python; milvus is Go.
  • License: magnitude is MIT, milvus is Apache-2.0.
  • Tags unique to magnitude: embeddings, fasttext, gensim, glove.
  • - When you need to perform memory-efficient operations on vector embeddings, including those from FastText or Word2Vec.

When NOT to use magnitude

  • - If your project involves non-Python ecosystems, as Magnitude is strictly a Python library and thus not compatible with other programming environments.
  • - When the primary focus of your work does not include handling large vector embeddings or specific operations that benefit from memory efficiency provided by Magnitude.

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 · magnitude 1.7k (synced Sep 20, 2026).

Common questions

What is the difference between milvus and magnitude?
milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. magnitude: A fast, efficient universal vector embedding utility package.. See the comparison table for live GitHub stats and shared categories.
When should I choose milvus over magnitude?
Choose milvus over magnitude when milvus is primarily Go; magnitude is Python; License: milvus is Apache-2.0, magnitude is MIT; 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.; Tags unique to milvus: anns, cloud-native, diskann, distributed; 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 magnitude over milvus?
Choose magnitude over milvus when magnitude is primarily Python; milvus is Go; License: magnitude is MIT, milvus is Apache-2.0; Tags unique to magnitude: embeddings, fasttext, gensim, glove; - When you need to perform memory-efficient operations on vector embeddings, including those from FastText or Word2Vec.
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 magnitude?
- If your project involves non-Python ecosystems, as Magnitude is strictly a Python library and thus not compatible with other programming environments. - When the primary focus of your work does not include handling large vector embeddings or specific operations that benefit from memory efficiency provided by Magnitude.
Is milvus or magnitude more popular on GitHub?
milvus has more GitHub stars (46,152 vs 1,673). Stars measure visibility, not whether either tool fits your constraints.
Are milvus and magnitude open source?
Yes - both are open-source projects on GitHub (milvus: Apache-2.0, magnitude: MIT).
Where can I find alternatives to milvus or magnitude?
GraphCanon lists graph-backed alternatives at milvus alternatives and magnitude alternatives (milvus markdown twin, magnitude 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 magnitude?
milvus: Very active. magnitude: Dormant. 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 magnitude?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: milvus trust report; magnitude trust report.

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