SAS and Teradata: a 2018 review

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My original attempt to pen an update has been overtaken by a Teradata press release on 8/10/2018 unveiling Vantage, which (as far as I can see) is a formal rebranding of what was previously called Teradata Analytics Platform.  I confess it’s somewhat disconcerting (as an analytics vendor) reading a press release that starts with the tagline “Stop Buying Analytics” but indeed, technology should never be the focus – rather it’s about delivering business benefit, something we can all agree on. And Teradata has a new logo too!

The observant of you may spot that (in the midst of a myriad of open-source logos) SAS is the only commercial vendor shown in the Vantage landscape. That’s a reflection of the 10+ year Alliance Partnership between SAS & Teradata that has delivered a multiple examples of integration of which I’ve spoken in previous posts.

Here are the some of the key integration achievements that have been delivered this year

  • Support for Cloud & Database Variants: A number of RDBMS vendors, including Teradata, have variants – either because they run in cloud or other non-traditional environments. SAS has extended SAS/ACCESS and SAS In-Database Technologies support to selected cloud and database variants of Teradata, including on IntelliCloud, Amazon Web Services & Microsoft Azure and VMware. See here for more details.
  • The Teradata Listener connector for SAS Event Stream Processing (ESP) sends data from ESP to the Teradata Listener application. Teradata Listener ingests high-volume, real-time data streams and persists the data from those streams to Teradata, Aster, or Hadoop.
  • SAS Quality Analytics Suite with Teradata includes three quality analysis solutions with pre-built data quality calculations and distributions, patented early-warning algorithms, out-of-the-box analyses, and advanced data modelling that is optimised for Teradata:
    • SAS Field Quality Analytics: Detect emerging issues and root causes within warranty, call centre and other field data sources.
    • SAS Asset Performance Analytics: Boost uptime, performance and productivity by harnessing machine-to-machine and sensor data.
    • SAS Production Quality Analytics: Improve quality and production performance by integrating data from across the manufacturing process and supply chain.

It’s clear that Teradata’s focus is to deliver a platform for analytics and even their traditional Partners event held in mid-October has been rebranded to Analytics Universe. We’re not alone (in the IT business) in walking a fine line between competition and partnership so it will be interesting to see how this plays out.

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Paul Gittins

Business Solutions Manager

A seasoned architect with hybrid business and technical skills, Paul encourages clients to adopt new SAS technologies embracing Hadoop, in-memory processing, high-end RDBMS and Cloud. His goal is to persuade client enterprise architects, technologists and data scientists to extend their use of SAS as an enterprise technology, leveraging partners including Teradata, Cloudera, AWS, Google & Microsoft. He has conducted architecture & best practice reviews and consulting engagements in more than 40 countries and has led multi-disciplinary teams to success in large and complex environments.

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