Julia has advantages over Stata and SPSS as well.

The main thing holding it back is its ecosystem. R has better libraries and a much better IDE (RStudio), while Python is still the best option for machine/deep learning (and general programming).

However, Julia has much better performance. R is arguably easier for someone with little coding experience to learn, but Julia isn't that much more difficult, and it's much more intuitive to code in than Python.

Julia + RStudio + CRAN/BioConductor would take the cake.