Why does the open sources world struggle with timeseries / tick databases so much? I'm a very big KDB fan, but I thought there would be some competition from the open source people at some point, but it seems like every attempt fails. KDB does so well because of its simplicity. Can the OS people not do simple (this is a possible argument), or is it that, as you point out, whenever something is about to be released into the OS sphere the lure of money prevents a full release. Or are they too distracted with the Web and build too many solutions tailored to it. I'm just amazed that a good TSDB hasn't come from the OS crowd yet.
KX seems to have a story that is very convincing specifically for financial markets applications.
All the other OSS TSDBs seem to have very good stories for storing server statistics and web clicks, or IoT data; but there are few stories, case studies, best practices for using these in financial applications?
It seems to me that specialised tools will usually be released as a product, because they're only for a specialised niche.
Relational databases are treated like they can store any kind of data, and for small data sets, it really doesn't matter if your data-model does not fit the relational type.
Once you have a larger data set, you're no longer a general purpose user.
