by Thomas Dinsmore Regular readers of this blog may be familiar with our ongoing effort to benchmark Revolution R Enterprise (RRE) across a range of use cases and on different platforms. We take these benchmarks seriously at Revolution Analytics, and constantly seek to improve the performance of our software. Previously, ... [Read more...]

The team at AMPLab has announced a developer preview of SparkR, an R package enabling R users to run jobs on an Apache Spark cluster. Spark is an open source project that supports distributed in-memory computing for advanced analytics, such as fast queries, machine learning, streaming analytics and graph engines. ... [Read more...]

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, ... [Read more...]

by Thomas Dinsmore On April 26, SAS published on its website an undated Technical Paper entitled Big Data Analytics: Benchmarking SAS, R and Mahout. In the paper, the authors (Allison J. Ames, Ralph Abbey and Wayne Thompson) describe a recent project to compare model quality, product completeness and ease of use ... [Read more...]

by Thomas Dinsmore On April 26, SAS published on its website an undated Technical Paper entitled Big Data Analytics: Benchmarking SAS, R and Mahout. In the paper, the authors (Allison J. Ames, Ralph Abbey and Wayne Thompson) describe a recent project to compare model quality, product completeness and ease of use ... [Read more...]

We are pleased to announce that Revolution R Enterprise Release 6.2 is available to new subscribers today. This new software release from Revolution Analytics includes a number of key new features: Support for open source R 2.15.3, the latest stable release of R. Since Release 2.14.2, the R Project has added 89 new features, 11 ... [Read more...]

by Thomas Dinsmore Revolution R Enterprise Release 6.2 goes live next week, so naturally our development team is thinking ahead to Release 7, which we plan to release later this year. Some of those enhancements are hush-hush, and we can't talk about them yet. But one of the most important enhancements we've ... [Read more...]

by Thomas Dinsmore Revolution R Enterprise Release 6.2 is in track for General Availability on April 22. In previous posts, I've commented on support for open source R 2.15.3 and Stepwise Regression. Today I'll wrap this series with a summary of some of the other new features supported in this release. Parallel Random ... [Read more...]

by Thomas Dinsmore This is the third in a series of posts highlighting new features in Revolution R Enterprise Release 6.2, which is scheduled for General Availability April 22. This week's post features our new Stepwise Regression capability. The Stepwise process starts with a specified model and then sequentially adds into or ... [Read more...]

by Thomas Dinsmore Last week, Revolution Analytics released the Limited Availability edition of Revolution R Enterprise Release 6.2. Interest in this new release is high, and we're very pleased with user response. Over the next several weeks, I will share more detailed information about the capabilities included in this new release. ... [Read more...]