Julia is really fast but the DataFrames/DataTables package was kind of slow and feature-incomplete. Because Pandas is so optimized, Julia wasn't winning out over Python on the speed side of things, and was definitely losing on the ergonimics, so for data science it wasn't the best choice (unlike say numerical simulation).

I'm sure this will change if it hasn't already, especially with the better parallelization that Julia is capable of.