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Teradata turns to the cloud, offers data warehouse as a service

Thor Olavsrud | Oct. 24, 2013
The idea is to provide complete flexibility to customer.

Teradata is also pushing new capabilities on its appliances. On Monday it introduced the Teradata Extreme Data Appliance 1700, providing its SQL engine on top of big data at a price beginning at $2,000 per terabyte of compressed data.

"Before the Teradata Extreme Data Platform 1700, those customers searching for a solution under $5,000 per terabyte were forced to look at a file system or solutions with a reduced setoff features," says Scott Gnau, president of Teradata Labs. "Our new platform removes the economic barriers, while delivering our best-in-class SQL engine for analysis of large volumes of relational data."

Meanwhile, the new Teradata Data Warehouse Appliance 2750 integrates in-memory technology with an enterprise data warehouse to deliver up to three times the system-wide performance as Teradata's 2690 platform. Teradata says real-world deployments have also shown a 700 times performance response time improvement.

"The Teradata Data Warehouse Appliance provides the best of all worlds-it combines an enterprise warehouse with an in-memory solution," Gnau says. "It is ideal for organizations needing an enterprise warehouse or looking to deliver real-time analytics via dashboards. By simply adding additional memory and installing our software, the Teradata Data Warehouse Appliance is transformed into a formidable, self-managing in-memory platform that accelerates the delivery of analytics."

Eying the Internet of Things
Additionally, looking ahead to the Internet of Things, Teradata announced that the Teradata Data Warehouse can now leverage Java Script Object Notation (JSON) data. JSON is the data type used by the millions of sensors and embedded microprocessors that will make up the Internet of Things.

While current Online Transaction Processing (OLTP) technology allows for transactional processing of JSON data, it doesn't allow for scalable analytics on massive data volumes. By leveraging JSON data, Teradata hopes to empower customers to monetize the Internet of Things though the aggregation and analysis of data from diverse machines joined to operational and historical business data.

"The Internet of Things will drive the next wave of data growth and it has the potential to change the world, just as the Internet did," Gnau says. "Teradata's customers will be the first to take advantage of this new technology and drive advanced analytics. And our customers can apply all of Teradata Database's features and functionality to the analysis of JSON data. In addition, they will be able to use the bundled JSON data with JSONPath, without the need to build a separate, isolated platform."


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