There's definitely been a marketing push, I believe kx systems is aggressively trying to diversify outside of finance. They recently scored a contract for a Canadian electric company for storing electric usage data for 5 million customers. In a data science meetup I went to, they presented and I thought it'd be about machine learning. It was just a generic presentation on kdb.
They are marketing agressively. For example they were pitching to a bunch of people at AWS re:Invent, and very definitely marketing along the lines of it being a generic language for data + a database.
When I told their marketing folks that I had used kdb/q a bit, didn't think it a good fit for our use-case and knew from a brief sojourn in hedge fund-land how hard it was to hire kdb programmers their response was on the lines of "It's not hard to program in and if your guys find it hard they can just use our python wrapper".
Honestly it is an interesting thing but the extent to which it's being pushed here on a daily basis at the moment feels "inauthentic" and somewhat tiresome.
Honestly it is an interesting thing but the extent to which it's being pushed here on a daily basis at the moment feels "inauthentic" and somewhat tiresome.
Try posting something else? The front page is populated with links that others find interesting. I started posting on HN mainly because I thought the front page was declining; it's worked out for me, really, APL is on the front page every day now. If you have any good links hanging around, people would be glad to see them, and it will probably tilt the front page into things you like a little more.
There are also 29 other spots on the front page, and some of those spots contain interesting links too! No one has time to read all of the comments on HN every day, so only reading the comments on posts you find interesting will probably be more enjoyable than reading the ones you find tiresome.
Damn, really? Has it been kind of a waste then? Seemed like a good way to handle smart grid data, for an old school utility that can't feasibly roll its own large time series storage solution.
Not 100% sure, but my limited understanding is that they have everything, but don't do anything with it at the moment. However, when they need it, it'll just be there which is much better than needing to build something and get all that data.
