R is plenty fast. Commonly it's calling C++. When I run a multilevel model, it's C++ I'm waiting on, not R. The tidyverse + ggplot2 + statistical tools + interactive nature makes working in R really productive.
This is Julia's native, in-language approach (no delegating to C/C++): https://juliadb.org/