Is Python or Perl faster than R?

This is not the silly question about which language is best, of course it depends on what kind of applications you work on, your client / company, historical reasons, and your expertize. Most of us use a combination of multiple languages anyway. Though a lot of statistical / machine learning algorithms are now being implemented in Python - see Python and R articles - and it seems that Python is more appropriate for production code and big data flowing in real time, while R is often used for EDA - exporatory data analysis - in manual mode. My question is, if you make a true apple-to-apple comparison, what kind of computations does Python perform much faster than R, (or the other way around) depending on data size / memory size? Is Python better suited for Hadoop?