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New Gartner Critical Capabilities Report: Teradata Receives the Highest Product Scores in All Four Use Cases for Data Warehouse and Data Management Solutions for Analytics

May 26, 2015 | Dayton,OH

Evaluation based on customer feedback and vendor capabilities

Gartner has given Teradata the highest product scores in each of the four use case categories in the new Gartner, Inc., “Critical Capabilities for Data Warehouse and Data Management Solutions for Analytics,” issued April 21, 2015, by analysts Mark A. Beyer and Roxane Edjlali. Teradata (NYSE: TDC), the big data analytics and marketing applications company, is one of 16 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 12, 2015, where Teradata is positioned as a leader.

Last year's Critical Capabilities research note was almost exclusively based on customer experience, while in this year's revision, Gartner extended the capability definitions to take into consideration both customer feedback and specific vendor capabilities. The 2015 critical capabilities note evaluates four use cases:

  • Traditional Data Warehouse - This use case involves managing historical data coming from various structured sources. Data is mainly loaded through bulk and batch loading. The traditional data warehouse use case can manage large volumes of data and is primarily used for standard reporting and dashboarding. To a lesser extent, it is used for free-form querying and mining, or operational queries. It requires high capabilities for system availability and administration and management, given the mixed workload capabilities for queries and user skills breakdown.

  • Operational Data Warehouse - This use case manages structured data that is loaded continuously in support of embedded analytics in applications, real-time data warehouse, and operational data stores. This use case primarily supports reporting and automated queries to support operational needs and will require high availability and disaster recovery capabilities to meet operational needs. Managing different types of users or workloads, such as ad hoc querying and mining, will be of less importance as the major driver is to meet operational excellence.

  • Logical Data Warehouse - This use case requires managing data variety and volume of data for both structured and other content data types. Besides structured data coming from transactional applications, this use case includes other content data types such as machine data, text documents, images and videos. Because additional content types can drive large data volumes, managing large volumes is an important criterion. A Logical Data Warehouse is also required to meet diverse query capabilities and support diverse user skills. This use case supports queries reaching into other sources than the DW DBMS alone.

  • Context-Independent Data Warehouse - This declares new data values, variants of data form and new relationships. It supports search, graph and other advanced capabilities for discovering new information models. This use case is primarily used for free-form queries to support forecasting, predictive modeling or other mining styles as well as queries supporting multiple data types and sources. It has no operational requirements and favors advanced users such as data scientists or business analysts resulting in free-form queries across potentially multiple data types.

Additionally, Gartner evaluates 10 of the most important functional capabilities that are required to support the four major use cases identified.

“We urge every CIO, IT executive and database analyst in every industry to review this report as they make investment decisions pertaining to big data analytics,” said Hermann Wimmer, Teradata Co-President. “This very important report provides insight that could well lead to significant economic savings while also driving the best possible decision pertaining to a big data analytics investment and business strategy – which we believe begins with the thought leadership and maturity of our Teradata® Unified Data Architecture™ -- the first analytic ecosystem we feel delivers on what Gartner defines as logical data warehouse.”

The new report comes as Teradata has just introduced new innovations in data management, including:

“As companies face more market hype and complexity in big data analytics, the critical capabilities evaluated in the new Gartner report provide a valuable framework and service,” said Chris Twogood, vice president of marketing, Teradata Labs. “Together with our Teradata® Unified Data Architecture™,Teradata Aster and Hadoop portfolios, we believe that our highest ratings across all four use case categories underscore the power, performance and return on investment that companies can expect when they turn to Teradata as a trusted advisor.”

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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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