Yeah, that's the difference we've seen according to the QPS for the ANN Benchmarks. The same story seems to be true for other datasets too. We're looking at a 0.9 recall.

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

Thanks. Pity I would have picked pg just because it would be less to learn