• Unfortunately, while they do fall into the same category of algorithmic offerings, they do not all offer the same performance or features. For example, SSAS is not as powerful as R out the box. I think this is because SSAS has not really changed all that much in the previous years. Yet, SSAS is easier to setup in a more generic fashion if you are using a multi-dimensional structure within SQL Server already.

    You have to also be invested in the Microsoft Stack ($$$) and work with multi-dimensional data to really take advantage of SSAS. It's hard to compete with R and Python that are completely free and work with anything. They also have a fierce community. Someone please point me to the SSAS community. Where they hiding at? I would love to use it more on my multi-dimensional data. :hehe:

    Being an R noob I've only worked on small sets, usually with flat files. Either running in RStudio or invoking from the command line, do you know if it will handle mining/processing of large sets like a terabyte?