"The Revolution R Enterprise 5.0 environment has delivered order of magnitude performance improvements, which has allowed our department to process four times the amount of analytics jobs. The researchers are now able to run, evaluate, modify and re-run their models multiple times to get more precise conclusions. It’s been amazing."

"There is so much information out there that can make a quant’s life difficult. Revolution R Enterprise just works. It's like using standard R, but lets me use all 32GB of memory on my 64-bit Windows system. Without OneTick Database integrated with Revolution R, I simply could not do the …

"Once you know what is driving your marketing, you can better direct what treatments you are using for specific people."

"After several years of data collection, crunching those numbers requires the use of a tremendous amount of memory at once. For that I use R Enterprise for 64-bit Windows. There are no limits on the amount of memory available. Prior to Revolution’s software development of R Enterprise for Windows, the …

"We see a lot of potential in Revolution’s big data package. In the past, people would say that R couldn’t handle big data. That was the number one excuse for not using R. Well, now R can handle big data because Revolution is tackling the problem."

"Revolution R is faster than regular R. The faster we can analyze data, the less time it takes us to build our diagnostic algorithms."

"Northern Trust went to Revolution Analytics and asked if we could explore the opportunity to parallelize our Monte Carlo simulations."

"[Revolution DeployR provides] a web service that is platform independent, easy-to-use and a standard for integration."

"De facto, R is already a significant component of Pfizer core technology. Access to a supported version of R will allow us to keep pace with the growing use of R in the organization, and provides a path forward to use of R in regulated applications."

"At the end of the day, our job isn’t about the programming and it isn’t about the system. It’s about getting the work done. I’m all in favor of the solution that lets me get the work done quickly and easily. We’ve been able to do something that we can’t …

“Sure there are other programming user groups in the quant finance world, but the community is certainly not like something I’ve ever seen in terms of just the amount of people. There’s a real collective sense of ownership for this thing. Because in the end, the data community does write …

"We need a high-performance analytics infrastructure because marketing optimization is a lot like a financial trading. By watching the market constantly for data or market condition updates, we can now identify opportunities for our clients that would otherwise be lost."

"We find two advantages to the Revolution Analytics and IBM framework: minimization of data transfer by moving the function to the data as well as the computation speedups associated with distribution of an embarrassingly parallel problem."

“The Revolution Analytics R framework and its seamless integration with solutions like IBM’s Netezza allow for rapid development and deployment of custom made high performance algorithms for big data analytics.”

“There are a few important benefits [of Revolution R Enterprise]…It’s really easy to develop and maintain for analysts. We don’t need a full time DBA to administer the IBM database appliance and don’t need a hardcore programmer to deploy our prediction functions. We’ve been able to scale our solution to …