[dracodoc]

One reason dplyr was promoted is that you can connect to different server backend like sparkr, sql etc, which is the enterprise direction RStudio aiming at. In the other hand, data.table is your friend when you are using your own machine. With more and more memory and cpu power available, its benefits are actually increasing.

I have been using data.table from almost day one, it does worth more recognition. The syntax is a little bit hard in the beginning but can be grasped after some efforts. I often feel that my exploration code will be much more tedious look if written in dplyr style.

[vasili111]

If my university uses Enterprise RStutio on grid it is better to stick with tidyverse rather than data.table?

[Tarq0n]

It doesn't make a difference. Rstudio's products aren't integrated with their libraries in particular.