Introducing Microsoft R Server for high performance analytics

Last week, Joseph Sirosh, Corporate Vice President of the Microsoft Data Group, announced the general availabilty of Microsoft R Server, laying the foundation for making R the enterprise standard for cross-platform analytics, both on-premises and in the cloud.

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Microsoft R Server is built on the highly popular open source R language, and adds enterprise scale & performance, operationalization and multi-platform support. R scripts built for the Microsoft R Server can work on data much larger than physical memory, support multi-threaded and distributed execution of scripts thus delivering superior performance, enable quick deployment by providing web services end-points for R script integration into LOB applications, and runs on a wide variety of platforms.

Here is an example illustrating the performance and scale of Microsoft R Server’s Scale-R technology compared with equivalent open source R functions. The Open Source R glm() function is able to process less than 500K observations and it took about 78 seconds; the equivalent rxGlm() function in scale-R is able to process over 5MM observations in under 10 seconds and has a very gradual linear increase in time. Basically, the rxGlm() function is limited only by the size of the physical disk on the machine and not by the main memory.

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One important highlight in this launch announcement is the availability of free developer versions of all of our commercial servers for R for development purposes. This greatly reduces the friction for adoption and driving usage of R Servers and Services. Mary Jo Foley called this out in her blog.

 

How to Get Started?

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