Teradata Extends Analytics Reach into IoT Realm

Mike Vizard
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At the Teradata 2015 Partners User Group conference today, Teradata outlined its ambitions to become a force in the delivery of Internet of Things (IoT) applications.

With the launch of Teradata Aster Analytics for Hadoop, due out in the second quarter of 2016, and Teradata Listener software for ingesting streams of data, due out in the first quarter of 2016, Teradata is making the case for leveraging its core analytic strength out into the realm of IoT applications that typically run on Hadoop.

In addition, Teradata today released Big Data Platform 1800, which makes use of dual Intel Eight Core Xeon processors running at 2.6GHz per node and up to 512GB of DDR4 memory per node to run an instance of the Teradata database that supports multiple data formats, including XML, name-value pair, JavaScript Object Notation (JSON) and Binary JSON, that are typically generated by sensors and Web applications. Fully loaded, the Teradata Big Data Platform 1800 can support as much as 341 petabytes of data.


Chris Twogood, vice president of product and services marketing for Teradata, says the end goal is to continue to establish a complementary relationship between analytics applications running on Hadoop and the Teradata databases that serve to create a Unified Data Architecture based on Teradata software. In the case of IoT environments, Twogood notes that Teradata Listener takes advantage of open source technologies such as Docker, Cassandra, Kafka and MesOS to propagate data in real time to both the Teradata database and Hadoop. Once there, IT organizations have the option of using Teradata analytics applications on the Teradata database or Hadoop to derive value from the data, says Twogood.

Twogood says this latest IoT push essentially extends the Unified Data Architecture that Teradata has crafted to include IoT applications that generate data in real time. Ultimately, Teradata doesn’t care so much about what underlying platform is used to analyze that data as much as it does the applications.

Obviously, just about every other provider of data warehouse platforms pretty much has the same goal in mind. The advantage working in Teradata’s favor, says Twogood, is the millions of dollars IT organizations have already invested in building existing analytics applications using Teradata software.



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