VectorDBBench | A Benchmark Tool for VectorDB

by zilliztech Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | VectorDBBench Summary

VectorDBBench is a Python library. VectorDBBench has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However VectorDBBench build file is not available. You can install using 'pip install VectorDBBench' or download it from GitHub, PyPI.

VectorDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go-to tool for the ultimate performance and cost-effectiveness comparison. Designed with ease-of-use in mind, VectorDBBench is devised to help users, even non-professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open-source vector databases a breeze. Understanding the importance of user experience, we provide an intuitive visual interface. This not only empowers users to initiate benchmarks at ease, but also to view comparative result reports, thereby reproducing benchmark results effortlessly. To add more relevance and practicality, we provide cost-effectiveness reports particularly for cloud services. This allows for a more realistic and applicable benchmarking process.

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Quality

Security

License

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Support

VectorDBBench has a low active ecosystem.

It has 34 star(s) with 5 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VectorDBBench is current.

Quality

VectorDBBench has no bugs reported.

Security

VectorDBBench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

VectorDBBench is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

VectorDBBench releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

VectorDBBench has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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VectorDBBench Key Features

No Key Features are available at this moment for VectorDBBench.

VectorDBBench Examples and Code Snippets

No Code Snippets are available at this moment for VectorDBBench.

Community Discussions

No Community Discussions are available at this moment for VectorDBBench.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install VectorDBBench

The system under test can be installed in any form to achieve optimal performance. This includes but is not limited to binary deployment, Docker, and cloud services.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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