I was inquiring about benchmarks for RiakTS, but your link was perfect. I am a J&#x2F;APL dabbler, and quite recently learning kdb+&#x2F;q (I prefer k).<p>As much as I step away from these languages, I always find my way back to them in strange ways. I was studying music, and there was a great J article in Vector magazine written in August 2006 [1] that walks through scales, and other musical concepts in J.<p>A Forth-based music software called Sporth [2] has a kona ugen in it, so you can generate scales or other musical items in kona, and then use them in the stack-based Sporth audio language.<p>My interests in kdb+&#x2F;q, k, J and APL are in applying them to mathematical investigations of music, visuals, doing data analysis, and then just code golfing, or toying around. They&#x27;re so much fun!<p>I need more time on large streaming datasets (Time Series data), than large disk-based datasets to really test latencies. I am building a box much better suited for it than my current machine. The goal is to stay in RAM as much as possible.<p>[1]  <a href="http:&#x2F;&#x2F;archive.vector.org.uk&#x2F;art10010610" rel="nofollow">http:&#x2F;&#x2F;archive.vector.org.uk&#x2F;art10010610</a><p>[2]  <a href="https:&#x2F;&#x2F;github.com&#x2F;PaulBatchelor&#x2F;Sporth" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;PaulBatchelor&#x2F;Sporth</a>