skingkong

There are some pretty neat devices that are similar to audio recording devices that you can speak into and it will speak the translation for you. A friend of mine got one for a trip to Japan and apparently it worked pretty well!

Huh, that's really cool and makes a lot of sense. Thanks for sharing more about it

This is neat! Curious what type of use case you use ducks for most often? Also...what tradeoffs are keeping you from implementing bitmaps in ducks?

100%, and are freaking fast...and pretty efficient, especially for high throughput applications tracking tons of changing data. We've found bitmaps handle updates, inserts, and schema changes really elegantly - and quickly (like sub-second). Depending on the use case, looking at cohorts MoM or YoY that freshness doesn't entirely matter, but computing cohorts in real-time hour-over-hour, or even minute-over-minute, for in-app actions/personalization is insanely valuable to keep users engaged (or what ever entity type you are analyzing and taking action on, whether it's devices, nodes across a network, etc).

Yeah in this type of architecture there is some sort of join required. Interestingly, @maycotte talking about the Molecula feature store – it serves real-time and historical features in the same storage layer. Significant performance gains with that approach.

We ran into this same problem trying to build and run a data management platform on it... IDK if you want to try what we built, but it's a hell of a lot faster and less cumbersome. We went from 30 ES servers down to 4 Pilosa servers.

https://github.com/pilosa/pilosa