--- title: "milvus vs examples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/milvus-io-milvus-vs-pinecone-io-examples" tools: ["milvus-io-milvus", "pinecone-io-examples"] --- # milvus vs examples Neutral, constraint-first comparison with live GitHub stats. | | [milvus](/tools/milvus-io-milvus.md) | [examples](/tools/pinecone-io-examples.md) | | --- | --- | --- | | Tagline | High-performance cloud-native vector database for scalable vector ANN search | Jupyter Notebooks to help you get hands-on with Pinecone vector databases | | Stars | 45,133 | 3,025 | | Forks | 4,109 | 1,073 | | Open issues | 972 | 63 | | Language | Go | Jupyter Notebook | | Adopt for | Milvus is a high-performance vector database built for scalable vector ANN search, designed for handling vast amounts of unstructured data such as text and images. It offers a fully distributed and Kubernetes-native (K8s | Examples from the Pinecone repository are tailored for hands-on learning and development with Pinecone's vector databases, featuring production-ready samples and educational materials. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [milvus](/tools/milvus-io-milvus.md) | [examples](/tools/pinecone-io-examples.md) | | --- | --- | --- | | Days since push | 0d | 5d | | Open issues (now) | 972 | 63 | | Security scan | 12 low (12 low) | Not scanned | | Full report | [trust report](/tools/milvus-io-milvus/trust.md) | [trust report](/tools/pinecone-io-examples/trust.md) | **Typed relationship:** milvus _(alternative)_ examples Milvus and Pinecone are both vector databases for scalable ANN search, offering similar functionality but different implementations. ## Decision facts: milvus - **Adopt for:** Milvus is a high-performance vector database built for scalable vector ANN search, designed for handling vast amounts of unstructured data such as text and images. It offers a fully distributed and Kubernetes-native (K8s ## Decision facts: examples - **Adopt for:** Examples from the Pinecone repository are tailored for hands-on learning and development with Pinecone's vector databases, featuring production-ready samples and educational materials. ## Choose when ### Choose milvus if… - milvus is primarily Go; examples is Jupyter Notebook. - License: milvus is Apache-2.0, examples is MIT. - Milvus and Pinecone are both vector databases for scalable ANN search, offering similar functionality but different implementations. - Tags unique to milvus: anns, distributed, cloud-native, embedding-database. - milvus ships Docker support for self-hosted deployment. - You need to perform near real-time similarity searches on large-scale datasets with efficient search performance. ### Choose examples if… - examples is primarily Jupyter Notebook; milvus is Go. - License: examples is MIT, milvus is Apache-2.0. - Milvus and Pinecone are both vector databases for scalable ANN search, offering similar functionality but different implementations. - Tags unique to examples: vector-database, llm, ai, python. - - You're working exclusively with the Pinecone vector database ecosystem. ## When NOT to use milvus - Your project requires extensive SQL-like querying capabilities, as Milvus specializes in vector data management rather than traditional relational data handling. - If you require a fully managed service with minimal setup overhead, consider alternatives or use Zilliz Cloud for the managed version of Milvus. The standalone and distributed versions may demand more - You are working on small-scale projects where simplicity outweighs performance and scalability needs, since Milvus is designed for high-performance and scale which might be excessive. ## When NOT to use examples - - The primary technology focus of your project is not on vector databases powered by Pinecone. - - You seek a more generalized approach to learning about various vector database systems, as this repository is dedicated specifically to Pinecone's implementation. ## Common questions ### What is the difference between milvus and examples? milvus: High-performance cloud-native vector database for scalable vector ANN search. examples: Jupyter Notebooks to help you get hands-on with Pinecone vector databases. See the comparison table for live GitHub stats and shared categories. ### When should I choose milvus over examples? Choose milvus over examples when milvus is primarily Go; examples is Jupyter Notebook; License: milvus is Apache-2.0, examples is MIT; Milvus and Pinecone are both vector databases for scalable ANN search, offering similar functionality but different implementations; Tags unique to milvus: anns, distributed, cloud-native, embedding-database; milvus ships Docker support for self-hosted deployment; You need to perform near real-time similarity searches on large-scale datasets with efficient search performance. ### When should I choose examples over milvus? Choose examples over milvus when examples is primarily Jupyter Notebook; milvus is Go; License: examples is MIT, milvus is Apache-2.0; Milvus and Pinecone are both vector databases for scalable ANN search, offering similar functionality but different implementations; Tags unique to examples: vector-database, llm, ai, python; - You're working exclusively with the Pinecone vector database ecosystem. ### When should I avoid milvus? Your project requires extensive SQL-like querying capabilities, as Milvus specializes in vector data management rather than traditional relational data handling. If you require a fully managed service with minimal setup overhead, consider alternatives or use Zilliz Cloud for the managed version of Milvus. The standalone and distributed versions may demand more You are working on small-scale projects where simplicity outweighs performance and scalability needs, since Milvus is designed for high-performance and scale which might be excessive. ### When should I avoid examples? - The primary technology focus of your project is not on vector databases powered by Pinecone. - You seek a more generalized approach to learning about various vector database systems, as this repository is dedicated specifically to Pinecone's implementation. ### Is milvus or examples more popular on GitHub? milvus has more GitHub stars (45,133 vs 3,025). Stars measure visibility, not whether either tool fits your constraints. ### Are milvus and examples open source? Yes - both are open-source projects on GitHub (milvus: Apache-2.0, examples: MIT). ### Where can I find alternatives to milvus or examples? GraphCanon lists graph-backed alternatives at /tools/milvus-io-milvus/alternatives and /tools/pinecone-io-examples/alternatives (/tools/milvus-io-milvus/alternatives.md, /tools/pinecone-io-examples/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/milvus-io-milvus-vs-pinecone-io-examples.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, milvus or examples? milvus: Very active. examples: 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 examples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: milvus: /tools/milvus-io-milvus/trust; examples: /tools/pinecone-io-examples/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=milvus-io-milvus`](/api/graphcanon/graph?tool=milvus-io-milvus) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_