We need a robust statistical software that can handle 10~13 million records datasets as an input to support business decisions, mostly forecasting and multiple regressions analysis. We have already tried R but it couldn't handle such datasets. We are looking for a reliable customer support, regardless of price. Do you have any suggestions?

1 Answer 1


It would be interesting to see what algorithm in R has failed (and how). I think this question depends on a particular implementation of multiple regressions. I would shop around for a good algorithm. One interesting project that has many implemented algorithms to do regression is DataMelt https://jwork.org/home/datamelt/ It has a good database of examples organized by topics and a search capabilities. Try to put "regression" into its search:


it will return ~10 examples and a large number of implemented algorithms (but all in Java). Personally, I use "polynomial regression" from this tool


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.