esPorc is similar to R in agile syntax and powerful set computation to efficiently implement data computing tasks.
esProc is more specialized in business computing on structured data in or out of database, while R is designed for statistical analytics with abundant mathematics function library, suitable for complex mathematical algorism.
esProc can not only work independently, but also be integrated well in other applications; R is mainly applied by data scientists and has week integration ability.
The performance of R language function library is good, but that of self-written loop statements is much worse than Perl, Python and esProc( they are similar) and R isn’t practical in big data traversing.
esProc can directly complete big data computing as it has built-in parallel mechanism; R has to employ other methods for big data due to lack of parallel mechanism.