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Break through memory and processing limitations of open source R
Open Source R Without Limitations
Simplified Analytics and Discovery for R Users
Powerful Combination of R and Teradata Aster
Experience a higher level of performance and data scalability from open source R thanks to the massively parallel and scalable Aster Discovery Platform.
Get innovative business insights faster than ever when your programmers use their familiar R language, R tools and R interface to access high-speed, parallel analytics without the time it takes to learn SQL or other new languages.
Give your R users access to over 5000 open source R packages and 100+ Aster Discovery Portfolio analytics such as nPath for powerful and impactful results – all in a single analytic platform.
Teradata Aster R Parallel Library
Teradata Aster Parallel Constructor
R Engine Integrated into Teradata Aster SNAP Framework
Prebuilt R functions help you quickly analyze data in the MPP platform running in parallel across all your data and distribute processing tasks transparently across multiple servers with no sampling required.
Now R programmers can create and run open source R scripts in parallel based on the split/apply/combine strategy and leverage Aster Discovery Platform’s high-speed parallel architecture and 5000 R packages to accomplish in minutes what used to take days.
Get deeper, more sophisticated analysis when you snap the R Engine together with multiple analytic engines across the Teradata Unified Data Architecture™ and enjoy easy access to data from Teradata and Hadoop.
CEO, Decision Management Solutions
A subscription-based online movie provider found themselves in peril. They desperately needed more analysis from their metadata about customer preferences in several critical areas – favorite genres, actors and directors, viewing histories, billing patterns, and satisfaction levels. However, memory bottlenecks blocked their view at every turn.
When a bold analyst introduced Teradata Aster R™, the plot thickened. Suddenly they gained easy access across Hadoop and Teradata IDW through the Aster Discovery Platform™ and Teradata QueryGrid™. With complete integration of customer viewing histories and behaviors and a consolidated view of millions of users at their fingertips, analysts clearly identified the paths that had led to subscription termination. The result: On-target insight for sound business decisions. Now that’s a happy ending!
Teradata Aster R helps scale open source R to meet enterprise analytics needs.
Addressing in-memory limitations and scalability issues of R
Focusing on Aster R integration, Aster SNAP Optimizer, and Aster Graph.
Break through R limitations, increase scalability and productivity.
Run R "in-database" on Aster's MPP architecture – run open source R at scale
The key to achieving success with Big Data is the ability to combine multiple data types, together with multiple analytical techniques, all at the same time while applying them all to the same problem.
Contact us for insights and answers to your questions.