Teradata aims to make R analytics more enterprise friendly

The company launched Aster R, which aims to bridge the open source R analytics software with its data warehouse tools.

Teradata on Wednesday launched Aster R, which aims to take the R open source analytics software, and make it more available to enterprises.

R is open source statistic and analytics software increasingly used by data scientists and big data practitioners. Teradata has been moving to embrace Hadoop and other big data technologies to provide a bridge to its data warehouse systems. Open source big data tools could become a threat to data warehouses along with the cloud, but Teradata has argued that these technologies will blend together in the enterprise.



Aster R can run in parallel as well as in-database, which allows for fast processing. R is typically deployed on a single server running in-memory. Teradata said that Aster R can process multiple data sets from various sources---including the data warehouse.

Teradata's R package also includes:

  • A library with 100 pre-built functions and includes analytics tools from the company.
  • A tool to allow analysts to build more than 5,500 R analytics packages.
  • A framework to integrate analytic engines and file stores. For instance, Aster R can analyze text, MapReduce, stats, time series and R data. Use cases would range from social network analytics to fraud detection to modeling.

Aster R will be available in the fourth quarter.


You have been successfully signed up. To sign up for more newsletters or to manage your account, visit the Newsletter Subscription Center.
Subscription failed.
See All
See All