How does the distributed computing functionality in RevoScaleR differ from MapReduce? Both RevoScaleR and MapReduce provide a framework for analyzing large data sets in R. RevoScaleR provides large data computing independent of whether you are working on a cluster; it contains external memory algorithms that process the data in chunks. Beginning with Revolution R Enterprise 5.0, RevoScaleR also provides a framework that allows one to use resources on an artibrary set of nodes on a cluster with any standard R function.
QA: Comparing RevoScaleR and MapReduce
Applies To
Revolution Analytics
Need more help?
Want more options?
Explore subscription benefits, browse training courses, learn how to secure your device, and more.
Communities help you ask and answer questions, give feedback, and hear from experts with rich knowledge.
