--- title: "examples vs VectorDBBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pinecone-io-examples-vs-zilliztech-vectordbbench" tools: ["pinecone-io-examples", "zilliztech-vectordbbench"] --- # examples vs VectorDBBench *GraphCanon updated Aug 21, 2026* ## Verdict Pick examples if examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance; pick VectorDBBench if vectorDBBench is a benchmark tool for evaluating vector databases written in Python under the MIT license. [examples](https://docs.pinecone.io) reports 3.0k GitHub stars, 1.1k forks, and 61 open issues, last pushed Aug 14, 2026. [VectorDBBench](https://zilliz.com/vector-database-benchmark-tool) has 1.2k stars, 425 forks, and 174 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [examples's repository](https://github.com/pinecone-io/examples) and [VectorDBBench's repository](https://github.com/zilliztech/VectorDBBench). | | [examples](/tools/pinecone-io-examples.md) | [VectorDBBench](/tools/zilliztech-vectordbbench.md) | | --- | --- | --- | | Tagline | Jupyter Notebooks to help you get hands-on with Pinecone vector databases | Benchmark for vector databases | | Stars | 3,036 | 1,164 | | Forks | 1,073 | 425 | | Open issues | 61 | 174 | | Language | Jupyter Notebook | Python | | Adopt for | Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance. | VectorDBBench is a benchmark tool for evaluating vector databases written in Python under the MIT license. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [examples](/tools/pinecone-io-examples.md) | [VectorDBBench](/tools/zilliztech-vectordbbench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 61 | 174 | | Stars delta | +8 (30d) | +17 (30d) | | Open issues delta | -3 (30d) | +20 (30d) | | Full report | [trust report](/tools/pinecone-io-examples/trust.md) | [trust report](/tools/zilliztech-vectordbbench/trust.md) | ## Decision facts: examples - **Adopt for:** Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance. ## Decision facts: VectorDBBench - **Adopt for:** VectorDBBench is a benchmark tool for evaluating vector databases written in Python under the MIT license. ## Choose when ### Choose examples if… - examples is primarily Jupyter Notebook; VectorDBBench is Python. - Tags unique to examples: ai, jupyter-notebook, llm, python. - When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks. ### Choose VectorDBBench if… - VectorDBBench is primarily Python; examples is Jupyter Notebook. - Tags unique to VectorDBBench: benchmark, cost-effectiveness, performance, vector-search. - VectorDBBench ships Docker support for self-hosted deployment. - When you need a comprehensive performance analysis of vector database solutions using Python ## When NOT to use examples - Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. - Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab. ## When NOT to use VectorDBBench - If your evaluation framework requires languages other than Python or licenses other than MIT - When benchmarking non-vector type databases, as VectorDBBench is specialized for vector databases ## Common questions ### What is the difference between examples and VectorDBBench? examples: Jupyter Notebooks to help you get hands-on with Pinecone vector databases. VectorDBBench: Benchmark for vector databases. See the comparison table for live GitHub stats and shared categories. ### When should I choose examples over VectorDBBench? Choose examples over VectorDBBench when examples is primarily Jupyter Notebook; VectorDBBench is Python; Tags unique to examples: ai, jupyter-notebook, llm, python; When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks. ### When should I choose VectorDBBench over examples? Choose VectorDBBench over examples when VectorDBBench is primarily Python; examples is Jupyter Notebook; Tags unique to VectorDBBench: benchmark, cost-effectiveness, performance, vector-search; VectorDBBench ships Docker support for self-hosted deployment; When you need a comprehensive performance analysis of vector database solutions using Python. ### When should I avoid examples? Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab. ### When should I avoid VectorDBBench? If your evaluation framework requires languages other than Python or licenses other than MIT When benchmarking non-vector type databases, as VectorDBBench is specialized for vector databases ### Is examples or VectorDBBench more popular on GitHub? examples has more GitHub stars (3,036 vs 1,164). Stars measure visibility, not whether either tool fits your constraints. ### Are examples and VectorDBBench open source? Yes - both are open-source projects on GitHub (examples: MIT, VectorDBBench: MIT). ### Where can I find alternatives to examples or VectorDBBench? GraphCanon lists graph-backed alternatives at [examples alternatives](/tools/pinecone-io-examples/alternatives) and [VectorDBBench alternatives](/tools/zilliztech-vectordbbench/alternatives) ([examples markdown twin](/tools/pinecone-io-examples/alternatives.md), [VectorDBBench markdown twin](/tools/zilliztech-vectordbbench/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 [this comparison](/compare/pinecone-io-examples-vs-zilliztech-vectordbbench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, examples or VectorDBBench? examples: Very active. VectorDBBench: 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 examples and VectorDBBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [examples trust report](/tools/pinecone-io-examples/trust); [VectorDBBench trust report](/tools/zilliztech-vectordbbench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pinecone-io-examples`](/api/graphcanon/graph?tool=pinecone-io-examples) - 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/_