Time-series Databases

Vol. 18 No. 6 – November-December 2020

Time-series Databases

Always-on Time-series Database: Keeping Up Where There's No Way to Catch Up:
A discussion with Theo Schlossnagle, Justin Sheehy, and Chris McCubbin

What if you found you needed to provide for the capture of data from disconnected operations, such that updates might be made by different parties at the same time without conflicts? And what if your service called for you to receive massive volumes of data almost continuously throughout the day, such that you couldn't really afford to interrupt data ingest at any point for fear of finding yourself so far behind present state that there would be almost no way to catch up?

Baleen Analytics:
Large-scale filtering of data provides serendipitous surprises.

Data analytics hoovers up anything it can find and we are finding patterns and insights that weren't available before, with implications for both data analytics and for messaging between services and microservices. It seems that a pretty good understanding among many different sources allows more flexibility and interconnectivity. Increasingly, flexibility dominates perfection.

by Pat Helland