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Teradata and Revolution Analytics Take R In-Database

Revolution R Enterprise brings massively parallel analytical processing inside the Teradata platform.

The partnership between Revolution Analytics and Teradata brings enterprise-class R in-database, and provides massively parallel analytical processing inside the Teradata platform. With Revolution R Enterprise 7 on the Teradata 14.10 platform, R users have an out-of-the-box solution for running R-based analytics in parallel, in-database, and at scale. This combination brings:

  • Faster Results: In-database operation brings computational parallelism that dramatically accelerates the delivery of results from your data, and eliminates the need to move data to a middle tier for analysis.
     
  • Reduced Latency by eliminating Data Movement:  Running In-Database has dramatic effects on big data analytics by eliminating the need to move data to analytics servers before initiating exploration, modeling or scoring. 
     
  • Expanded Capabilities:  The computational performance of Revolution R Enterprise scales linearly with system size, enabling developers to run more sophisticated and more numerous analytic models on larger sets of your company’s data. Transparent in-database execution reduces dependence on IT staff to move data, freeing developers to pursue more forward-thinking projects, including developing applications that enhance big data discovery.
     
  • Reduced Costs and Risks: Accelerating analytics with in-database processing reduces the need for additional data marts.  R is widely known and taught, broadening the available talent pool, reducing training burdens, shortening ramp-up time, and cutting project cost. Based on open source R, Revolution R Enterprise typically costs less than half as much as other solutions.

How Revolution R Enterprise and Teradata Work Together

Revolution R Enterprise provides powerful analytical algorithms that run in parallel on execution platforms, without the need for moving. Teradata is the first in-database platform to support these algorithms. Now, R programmers use the Revolution R Enterprise IDE on a workstation or laptop to build R scripts, and then transparently execute them in Teradata from their workstations or laptops.  Programmers use familiar R functions and standard R data frames to manipulate the data directly or embed SQL – whichever they prefer.

The highest possible performance is achieved because Revolution R Enterprise for Teradata includes a library of Parallel External Memory Algorithms (PEMAs).  PEMAs are pre-built, extended-memory, parallelized versions of the most common statistical and predictive analytics algorithms and run directly in parallel on the Teradata nodes. These PEMAs run in-database, so that not only is analytical speed improved, but data is also analyzed in-place in the database, eliminating data movement delays and latency.

About Teradata

Teradata is the world's largest company focused on integrated data warehousing, big data analytics and business applications. Our powerful solutions portfolio and database are the foundation on which we've built our leadership position in business intelligence and are designed to address any business or technology need for companies of all sizes.

Only Teradata gives you the ability to integrate your organization's data, optimize your business processes, and accelerate new insights like never before. The power unleashed from your data brings confidence to your organization and inspires leaders to think boldly and act decisively for the best decisions possible. Learn more at teradata.com.

Contact us for more information on the Teradata & Revolution Analytics partnership