R is great at 100s of thousands but fails miserably at millions. This seems especially true for clustering and regression. With the explosion of data collection

R is great at 100s of thousands but fails miserably at millions. This seems especially true for clustering and regression. With the explosion of data collection, tools have to be able to easily take in and clean millions of records quickly. Does anybody have experience with Orange or RapidMiner?