[jasonpbecker]

As an R user who can't stand working in Python, where Elixir I think has the most potential is not the data science part but data engineering. The whole world of ELT/ETL pipeline and workflow tools written in Python is a mess IMO, and Broadway/Flow + Ecto + what's going on with Explorer etc I think can quickly replace a whole mess of python/scala/EMR type workflows in a language and environment that feels way better suited to the problem space, in my experience.

[pdimitar]

Yeah, can confirm, I did a ton of Elixir work in the ETL space and it's amazingly well-suited for it. If you don't get an OCD over the fact that it obviously can't work as fast as Rust (realistically it's likely anywhere from 30x to 100x slower even) then the ergonomic and intuitive syntax combined with the transparent parallelism create an all-around win.

So far I've never regretted using Elixir for ETL, but I do confess that for two projects I was mighty tempted to try a rewrite in Rust because ingesting several dozens of billions of records in a dynamic language isn't exactly fast.

But, again, the ergonomics trump everything else 99% of the time for me. Plus for one-off ingestion tasks nobody cares if it takes 30 minutes or the whole night.