Teradata doubles down on IoT with two new tools

Teradata Listener and Teradata Aster Analytics on Hadoop help users "listen" to massive streams of IoT data in real time and then use analytics to find the distinctive underlying patterns.

Teradata Listener is self-service software for ingesting and distributing individual or multiple data streams from sources including sensors, telematics, mobile events, click streams, social media feeds and IT server logs.

The software can be deployed on-premises or in the cloud. It can push data to Hadoop, Teradata Aster Analytics, Teradata Database or other platforms, where data scientists, business analysts and developers analyze it without having to rely on IT for help.

"People are not capturing IoT data in real time, and they're certainly not analyzing it at scale," said Chris Twogood, Teradata's vice president of products and services. "Listener makes it easy for developers and analysts to connect to a data stream."

Aster Analytics on Hadoop, meanwhile, is a new version of Teradata's Aster database -- acquired through its purchase of startup Aster Data Systems in 2011 -- that's designed specifically to run on Hadoop.

Equipped with more than 100 machine learning algorithms, the software can be used to look for patterns in the data and uncover trends, Twogood said.

Also on Monday, Teradata released its Integrated Big Data Platform 1800, a new version of its longstanding platform that offers faster performance and also 4TB drives. Pricing is about $1,000 per terabyte of compressed data.

Running on the platform, the Teradata Database offers access to data in formats including XML, name-value pair, BSON (Binary JSON) and JSON from Web applications, sensors, and Internet of Things-connected machines.

The Teradata Integrated Big Data Platform 1800 is available now. Teradata Listener is in beta and will be generally available in the first quarter of next year. Teradata Aster Analytics on Hadoop will be shipped globally in the second quarter of 2016.