Alteryx integrates with Revolution R Enterprise

October 15, 2013

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

You already know that R is an amazingly powerful language for data analysis, but what if you're not a programmer? Or, what if you want to make the data manipulations, visualizations or statistical models you've developed in R available to business analysts, marketers, managers or other non-programming types?

That's why Revolution Analytics has teamed up with Alteryx to bring the power of R to Alteryx's easy-to-use drag-and-drop workflow interface. From your Windows desktop or laptop, you can connect your data to icons like "Contingency Table", "Histogram", "Decision Tree" and get results from R without a line of R programming. (If you are an R programmer, you can always drill down and see exactly the R code that's being run, and even modify it if you like.)

Alteryx has had integration with R for a while, but if you have Revolution R Enterprise installed, it will take advantage of the performance benefits of the Revolution R build. Better yet, if you're working with large data sets, you can send data to out-of-memory XDF files, and connect these large data files to R-based icons. In this case, the big-data functions of the Revolution R Enterprise ScaleR package will be used behind the scenes, to speed up computations and avoid out-of-memory errors.

You can see how it works in this video:


We've jointly announced this partnership today, and you can learn more at the Alteryx website. The integrated system will be available early next year, but if you'd like to take a test drive in the meantime please get in touch.

Revolution Analytics partners: Alteryx

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)