August 08, 2016 | SAN DIEGO, California

Teradata Receives Highest Product Scores in Traditional, Logical and Context-Independent Data Warehouse Use Cases in Gartner 2016 Critical Capabilities for Data Warehouse and Data Management Solutions for Analytics Report

Gartner has given Teradata the highest product scores in three of the four data warehouse use case categories (Traditional, Logical and Context-Independent) in its new report, “Critical Capabilities for Data Warehouse and Data Management Solutions for Analytics,” issued July 13, 2016 by analysts Rick Greenwald, Mark A. Beyer and Roxane Edjlali. Teradata Corp. (NYSE: TDC), the big data analytics company is one of 19 database vendors evaluated in the new report, which is a companion note to the Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics, published February 25, 2016, where Teradata is also positioned as a leader.

“Teradata’s high scores in these use cases is great news for Teradata and our global customer community – and reflect on our powerful and progressive technology leadership at a time when the marketplace is more crowded than ever,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer. “We introduced the first analytical ecosystem to deliver on what Gartner defines as a logical data warehouse with our Teradata® Unified Data Architecture™ including Teradata Aster Analytics and our Hadoop portfolio. By leading in critical capabilities for the Logical Data Warehouse, Traditional, and the Context-Independent Data Warehouse -- our customers’ continuing confidence in Teradata is well-justified and, looking ahead, we are excited about the next wave of innovations we will introduce.”

Gartner defines “Critical Capabilities” as “attributes that differentiate products/services in a class in terms of their quality and performance.” The research note evaluates vendors in the context of four data warehouse use cases: 1) Traditional 2) Operational 3) Logical and 4) Context-Independent. Gartner defines a data warehouse as “a solution architecture that may consist of many different technologies in combination.”

Based on Teradata’s frequent meetings with industry consultants, a growing number of Teradata key reference accounts are augmenting data warehouses with Aster Analytics and Hadoop, demonstrating adoption of ecosystems that resemble the logical data warehouse and context-independent data warehouse use cases. Teradata believes that this phenomenon illustrates the convergence of visionary and pragmatic innovations reflected in the cutting-edge accomplishments of Teradata.

“As big data analytics becomes the single most important means of business differentiation and business performance across industries, the critical capabilities evaluated in the new Gartner report provide a valuable framework and rationale for investments in Teradata,” said Chris Twogood, vice president of product and services marketing, Teradata. “Our leadership in the recent Gartner Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics as well as in a new report pertaining to Big Data Hadoop-Optimized Systems underscores the value and trust that Teradata has earned in every new big data analytics frontier.”

Recent Relevant News Links
• To view the complete Gartner Critical Capabilities report click here
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• Teradata introduces the Teradata® Aster® Connector for Spark, an industry-first integration
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Think Big, a Teradata Company Offers New Approaches for Data Lakes with Apache Spark

About Gartner Research
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.








    

 

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