That is nifty. Does anyone know of any high performance time series-orientated databases (closed source or not) which support flexible/advanced querying (like being able to find patterns) ?
I'm building an open source behavioral database (time series over objects) called Sky (https://github.com/skydb/sky). It comes with a LLVM-backed language called Qip that is a mix between procedural & declarative and provides easy integration with C libs so you could plugin a machine learning library (relatively) easily. It's fast too. It'll crunch through tens of millions of events per second on a single core.
I'm releasing the initial v0.1.0 at the end of the month. Shoot me a message on Twitter (@benbjohnson) if you want some more information.
How important of a goal was it to follow/diverge from pp/sql's lead in designing Qip?
Thank you for your response!