What does HackerNews think of VectorDBBench?

A Benchmark Tool for VectorDB

Language: Python

We conducted benchmark tests on Elastic's queries per second (QPS) performance using datasets of 500,000 and 1 million vectors. Result was Zilliz is 13x and 22x faster, per number of vectors respectively. https://zilliz.com/blog/elasticsearch-cloud-vs-zilliz

We also conducted a benchmark comparing Pgvector to both Milvus (open source) and Zilliz (managed, with a free tier option). When running the OSS Milvus on 2 CPUs and 8 GiB memory, Pgvector was found to be 5 times slower. You can check out the detailed performance charts at the bottom of this blog post: https://zilliz.com/blog/getting-started-pgvector-guide-devel...

Feel free to explore our open-source benchmarking tool, which allows you to examine our methodology and even compare it with your vector database. https://github.com/zilliztech/VectorDBBench

We conducted benchmark tests on Elastic's queries per second (QPS) performance using datasets of 500,000 and 1 million vectors. Result was Zilliz is 13x and 22x faster, per number of vectors respectively. https://zilliz.com/blog/elasticsearch-cloud-vs-zilliz

Feel free to explore our open-source benchmarking tool, which allows you to examine our methodology and even compare it with your vector database. https://github.com/zilliztech/VectorDBBench

Interesting graphic, bland and unvoiced conclusion

You're also missing a lot of details. For example, Milvus and Zilliz are actually a little different, check this out for more details: https://github.com/zilliztech/VectorDBBench (of course run it on your own stuff, don't blindly trust companies just because their product is open source)

Also if you want to throw some more comparisons in their checkout elastic search

You can take a look here: https://github.com/zilliztech/VectorDBBench

It lets you run you run the benchmarks using your own API keys. Although it is made by Zilliz (maintainers of Milvus), you can take a look and see what is going on and judge if its fair.

Hi, if you're looking into vector storage and querying, there are several things to consider. For lightweight usage, you can directly use FAISS without any database overhead. For heavy usage, Milvus/Zilliz is the most production-ready solution.

Also, here's a benchmark that allows you to easily test their performance differences through a user-friendly interface. This includes both cloud solutions and open-source options. If you prefer to view pre-tested results, there are standard ones available as well. Check it out here: VectorDBBench. https://github.com/zilliztech/VectorDBBench