Once I was a lead on a new project and asked the intern to write some basic ETL code for data in some spreadsheets. I said she could write it in Python if she wanted, because "Python is good for ETL", right?
This intern was not dumb by any means, but she wrote code that took 5 minutes to do something that can be done in <1 second with the obvious dplyr approach.
Also, if your bank analysts pick up dplyr, they can use dbplyr to write SQL for them :)
Edit: or maybe it's not dead? I just found http://www.user2019.fr/static/pres/t246174.pdf
Second issue, in my field (bioinformatics) the script is still a pretty common unit of code. Without cached compilation being a simple flag, Julia often is slower.
In regards to Julia's compilation problem, you can use https://github.com/JuliaLang/PackageCompiler.jl to precompile an image, allowing you to avoid paying the JIT performance penalty over and over again.
