Comparison
infinity vs milvus
Verdict
Pick infinity if infiniflow/infinity is an AI-native database for LLM applications, offering fast hybrid search capabilities for dense vector, sparse vector, tensor, and full-text data; 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.
Markdown twin · infinity alternatives · milvus alternatives
GraphCanon updated Sep 20, 2026
21views this month
Trust & integrity
| Signal | infinity | milvus |
|---|---|---|
| Maintenance | Active (8d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Sep 18, 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
- infinity
- AI-native database for LLM applications with fast hybrid search capabilities
- milvus
- Milvus is a high-performance, cloud-native vector database for scalable vector ANN search
Stars
- infinity
- 4.7k
- milvus
- 46k
Forks
- infinity
- 445
- milvus
- 4.3k
Open issues
- infinity
- 129
- milvus
- 1.5k
Language
- infinity
- C++
- milvus
- Go
Adopt for
- infinity
- Infiniflow/infinity is an AI-native database for LLM applications, offering fast hybrid search capabilities for dense vector, sparse vector, tensor, and full-text data.
- 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.
Persona
- infinity
- -
- milvus
- -
Runtime
- infinity
- -
- milvus
- -
License
- infinity
- Apache-2.0
- milvus
- Milvus is licensed under the Apache-2.0 license.
Last pushed
- infinity
- Sep 9, 2026
- milvus
- Sep 18, 2026
Categories
- infinity
- Data & Retrieval, Vector Databases
- milvus
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- infinity
- Active (82%)
- milvus
- Very active (96%)
Days since push
- infinity
- 8d
- milvus
- 0d
Open issues (now)
- infinity
- 129
- milvus
- 1.5k
Stars delta
- infinity
- +85 (30d)
- milvus
- +750 (30d)
Open issues delta
- infinity
- +63 (30d)
- milvus
- +303 (30d)
OSV dependency advisories
- infinity
- No lockfile (source not queried)
- milvus
- Published findings
Full report
- infinity
- Trust report
- milvus
- Trust report
Typed relationship
Choose infinity if…
- infinity is primarily C++; milvus is Go.
- Pricing: The software is free and open-source under the Apache-2.0 license, but users may incur costs related to hosting and running Docker containers..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment, with specific setup instructions for Linux, MacOS, and Windows with WSL2..
- Infinity is an alternative to Milvus because both are vector databases that provide fast query capabilities for dense and sparse vectors used typically in rich AI applications like RAG.
- Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20.
- When you need a database that supports fast hybrid search for dense vector, sparse vector, tensor, and full-text data, specifically tailored for LLM applications.
When NOT to use infinity
- Avoid using Infinity if your project is constrained by the requirement to use a language other than C++ for database operations, as Infinity is primarily developed in C++.
- Do not use Infinity if your deployment environment does not support Docker or if you are working in a Windows environment without WSL2, as the setup instructions are specific to Docker and Linux/MacOS
Choose milvus if…
- milvus is primarily Go; infinity is C++.
- 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..
- Infinity is an alternative to Milvus because both are vector databases that provide fast query capabilities for dense and sparse vectors used typically in rich AI applications like RAG.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infiniflow/infinity) · observed Sep 20, 2026
- GitHub forks (infiniflow/infinity) · observed Sep 20, 2026
- Last push (infiniflow/infinity) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (milvus-io/milvus) · observed Sep 20, 2026
- GitHub forks (milvus-io/milvus) · observed Sep 20, 2026
- Last push (milvus-io/milvus) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: infinity 4.7k · milvus 46k (synced Sep 20, 2026).
Common questions
- What is the difference between infinity and milvus?
- infinity: AI-native database for LLM applications with fast hybrid search capabilities. milvus: Milvus is a high-performance, cloud-native vector database for scalable vector ANN search. See the comparison table for live GitHub stats and shared categories.
- When should I choose infinity over milvus?
- Choose infinity over milvus when infinity is primarily C++; milvus is Go; Pricing: The software is free and open-source under the Apache-2.0 license, but users may incur costs related to hosting and running Docker containers.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment, with specific setup instructions for Linux, MacOS, and Windows with WSL2.; Infinity is an alternative to Milvus because both are vector databases that provide fast query capabilities for dense and sparse vectors used typically in rich AI applications like RAG; Tags unique to infinity: ai-native, approximate-nearest-neighbor-search, bm25, cpp20; When you need a database that supports fast hybrid search for dense vector, sparse vector, tensor, and full-text data, specifically tailored for LLM applications.
- When should I choose milvus over infinity?
- Choose milvus over infinity when milvus is primarily Go; infinity is C++; 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.; Infinity is an alternative to Milvus because both are vector databases that provide fast query capabilities for dense and sparse vectors used typically in rich AI applications like RAG; 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 avoid infinity?
- Avoid using Infinity if your project is constrained by the requirement to use a language other than C++ for database operations, as Infinity is primarily developed in C++. Do not use Infinity if your deployment environment does not support Docker or if you are working in a Windows environment without WSL2, as the setup instructions are specific to Docker and Linux/MacOS
- 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.
- Is infinity or milvus more popular on GitHub?
- milvus has more GitHub stars (46,152 vs 4,709). Stars measure visibility, not whether either tool fits your constraints.
- Are infinity and milvus open source?
- Yes - both are open-source projects on GitHub (infinity: Apache-2.0, milvus: Apache-2.0).
- Where can I find alternatives to infinity or milvus?
- GraphCanon lists graph-backed alternatives at infinity alternatives and milvus alternatives (infinity markdown twin, milvus 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, infinity or milvus?
- infinity: Active. milvus: 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 infinity and milvus?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: infinity trust report; milvus trust report.