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New Revolution Analytics Big Data Big Analytics Platform Super-Charges the Next-Generation Enterprise

Revolution R Enterprise 7 Brings Performance-Enhanced R Analytics to Alteryx, Cloudera, Hortonworks and Teradata for Unprecedented Scalability and Performance

Revolution Analytics, the only commercial provider of open source R software, today announced the availability of Revolution R Enterprise 7 (RRE 7), the only Big Data Big Analytics platform powered by R, the standard for modern analytics. The new platform is now integrated with more data and compute environments and features a “write once deploy anywhere” functionality allowing data analysts and IT teams to more fully utilize a variety of data management platforms like Hadoop and second-generation enterprise data warehouses (EDW). These new capabilities act as a super-charger to accelerate growth, optimize operations, and expedite data insight and discovery.

  • “Recent analyst reports predict the total data store will grow to 40 zettabytes by the year 2020,” said David Rich, CEO of Revolution Analytics. “The Big Data wave is swelling and open source R is essential to glean real-time data and discover hidden patterns in data to power game-changing business decisions. Revolution R Enterprise delivers performance, scalability, portability and ease-of-use for R so that Big Data Big Analytics is far simpler to create and deploy while also cost effective, low risk and future proof.”

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Supports More Compute Environments with Lower Engineering Costs

With a multitude of data and compute environments in use today, RRE 7 gives analysts the ability to write code once and deploy it anywhere, in a variety of data management platforms, enterprise data warehouses, grids, clusters, servers and workstations without re-engineering costs. RRE 7 is the industry’s first Big Data Big Analytics platform to include a library of Big Data-ready algorithms that run inside the Cloudera and Hortonworks Hadoop platforms and in Teradata databases, with the highest possible performance.

“The Big Data technology marketplace is varied and rapidly evolving, and CIOs need to make smart decisions today that will continue to pay dividends tomorrow,” said Ben Woo, founder and managing director of Neuralytix. “With Revolution R Enterprise’s open platform and ‘write once deploy anywhere’ capabilities, it's as if the investment on predictive analytics comes with a warranty, to always make the best use of Hadoop and database platforms, and ultimately empower more users across the organization to drive new business insights now and in the future.”

The new RRE 7 platform includes a library of Parallel External Memory Algorithms (PEMAs), pre-built, extended-memory, parallelized versions of the most common statistical and predictive analytics algorithms. Revolution R Enterprise includes PEMAs for data processing, data sampling, descriptive statistics, statistical tests, data visualization, simulation, machine learning and predictive models. All are accessible from easy-to-use R functions, and all ensure the maximum possible performance by making use of the parallel processing power of the host data platform, without the need to move data anywhere.

Moves the Computation to the Data for High-Performance Analytics

The ability to perform analytics on data, by bringing the computation to data, is essential for performance especially with Big Data. Teradata in-database analytics enables organizations to use the power of the Teradata database as a massively parallel and scalable R platform for advanced data processing and statistical modeling with Big Data. By moving the computation to the data, the entire data set can be included in the analysis which helps drive faster results, reduced latency, expanded capabilities and reduced costs and risks. Teradata is the first database to support Revolution R Enterprise PEMAs.

“Revolution Analytics and Teradata have partnered to enable R analytics to be run in parallel within Teradata,” said Bill Franks, chief analytics officer, Teradata. “This brings unprecedented scale and performance to R users. Our clients will find this to be a compelling offer.”

With RRE 7, R-powered analytics can now be invoked inside the Hadoop distributions of both Cloudera’s CDH3/CDH4 and Hortonworks Data Platform 1.3. By eliminating the need to move data out of the Hadoop environment and into the conventional storage that R-based analysis would otherwise require, RRE 7 will allow predictive analytics functionality implemented in R to execute more immediately and quickly. This pushes data analytics beyond simple summaries, queries, ETL and data visualization to produce game-changing insights from data managed within a Hadoop environment.

“By enabling R-powered Big Data analytics, Cloudera customers are able to easily build and deploy predictive analytic models, gleaning insight from massive amounts of data stored and managed within the Cloudera Big Data environment,” said Tim Stevens, vice president, Business and Corporate Development, Cloudera.

“Enterprises now demand from their analytics platform higher capacity infrastructure at lower costs while also working with existing systems,” said Shaun Connolly, vice president of corporate strategy at Hortonworks. “The integration of Revolution R Enterprise 7 with Hortonworks Data Platform further enriches the modern data architecture, by providing advanced, predictive analytics directly within the Hadoop environment.”

Opens R to Business Users and Extends the Impact of Predictive Analytics

Through a recent integration with Alteryx Strategic Analytics software, RRE 7 broadens the reach of R directly to business users. Using an intuitive workflow, users who understand their unique business challenges can make analytics-driven decisions without the need to rely on coding or R experts, helping companies to close the analytic skills gap and benefit from increased analytic insight across more business units.  

“Revolution Analytics and Alteryx have collaborated to open up the world of predictive analytics to data analysts through a combination of the Alteryx environment with simple drag-and-drop R-based predictive tools and Revolution Analytics’ scalable R platform,” said George Mathew, president and COO at Alteryx. “Revolution R Enterprise 7 delivers on that combination and provides the scalability that modern analysts using Big Data require - broadening the use of predictive analytics and delivering incredible business value."

Scales Big Data Big Analytics with Customized Techniques

Revolution R Enterprise 7 delivers unprecedented integration capabilities with the broader ecosystem, empowering a brand new generation of organizations to scale their big data platform, deploy smarter, faster analytics to discover new insights, and drive better business decisions. The new Big Data Big Analytics techniques provide data analysts with more powerful tools to generate and visualize the most reliable predictions and inferences. The following capabilities have been optimized to scale as big as needed:

  • Ensemble Models for Decision Forests—a powerful machine learning technique to produce forecasts, predictions and recommendations.
  • Stepwise Regression—now available for logistic regression and Generalized Linear Models (GLM), stepwise regression functionalities help automate the process by which the most important or relevant variables are selected for inclusion in a predictive model. 
  • Decision Tree Visualization—capabilities that make it easier for analytic consumers to understand relationships and correlations within the data. Revolution R Enterprise delivers an interactive Big Data decision tree visualizer that is unique in the marketplace.

Revolution R Enterprise 7 is available now to select customers, and will be available to all subscribers and new customers on December 13, 2013. For more information on Revolution R Enterprise 7, please visit www.revolutionanalytics.com/products/rre.

About Revolution Analytics

Revolution Analytics, with its Revolution R Enterprise (RRE) software, is the innovative leader in Big Data Big Analytics. RRE is powered by the R language, the de facto standard for what Gartner describes as Modern Analytics. RRE is used by enterprises with massive data, performance and multi-platform requirements that need to drive down the cost of Big Data. RRE runs on industry-leading data platforms, and integrates with business intelligence, data visualization, web and mobile apps to build solutions that drive game changing business insights and value.

About Open Source R

R is the most widely used statistical language with more than two million users worldwide. Top university talent are graduating with R skills, ready to help global enterprises innovate and realize value from Big Data. Revolution Analytics contributes to the growing R community with open-source contributions, user group sponsorships, and free Revolution R Enterprise licenses to academia.

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Jill Reed or Angela Lestar
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Tom Shearer
MSL London
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