"cherry picked"? There is no doubt that data.table is generally way faster than dplyr, unless you cherry pick a few use cases.
The problem is that dplyr is much slower than data.table and RStudio is promoting tidyverse too much to make the slower choice a default for many users.
The problem is that dplyr is much slower than data.table and RStudio is promoting tidyverse too much to make the slower choice a default for many users.
The article is 100% correct on this issue.