I just posted this above: "I don't have any info about Sting, but we're working on some blog posts that go deeper into each of these topics. I'll make sure that the interest in Sting is accounted for in the prioritization."
So now that's +2. :)
+3 please :-)
The idea of marrying "slow" Python and OLAP is disturbing my sleep!
Have you looked at the Cubes project?
There was many interesting things listed at the blog post. I have been planning a system similar in idea to Sting, your OLAP server (?).
I'm planning a light RPC style system on top of Pandas dataframe objects, transferring HTTP requests to Pandas method calls. Memory usage of such a system with our data is too expensive if all data is in use. So, I'm investigating possible caching and database solutions.
Could you perhaps elaborate on the implementation of Sting's in memory database?
[posted from yet another HN account]