DAYTON, Ohio, May 26, 2015 /PRNewswire/ -- 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.

http://photos.prnewswire.com/prnvar/20130716/CL47933LOGO

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(TM) -- 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:


    --  The World's Most Advanced Hybrid Row and Column Database - allows
        customers to mix and match row and column technologies at will
    --  An Anytime Anywhere Interface to Teradata Database for Web Mobile and
        Business Applications, with any device, a customer, supplier, mobile
        employee, or application.
    --  The Newest Teradata Data Warehouse Appliance - a Powerhouse for the Most
        Demanding Analytics, Optimized for in-memory processing
    --  QueryGrid Expansion, with Customer Choice for Best of Breed Analytic
        Technologies - Enhanced QueryGrid delivers greater choice of Hadoop
        distributions, architectural flexibility, and analytic extensibility
    --  The Software Defined Warehouse for Enhanced Data Management Agility and
        Simplicity, advanced software controls enable multiple data warehouse
        environments on a single system

"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(TM), 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."

Relevant News Links


    --  To view the complete Gartner Critical Capabilities report, click here.
    --  Think Big, a Teradata Company: making big data come alive!
    --  Forbes: the value of big data analytics  - Oliver Ratzesberger, Teradata
        vp, Software
    --  Teradata introduces Big Data Apps that answer industry-specific business
        questions
    --  Teradata Connection Analytics provides cutting-edge advancements

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.

About Teradata

Teradata (NYSE: TDC) helps companies get more value from data than any other company. Teradata's leading portfolio of big data analytic solutions, integrated marketing applications, and services can help organizations gain a sustainable competitive advantage with data. Visit teradata.com.

Get to know Teradata:

Twitter
Facebook
YouTube
LinkedIn

Teradata and the Teradata logo are trademarks or registered trademarks of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

Logo - http://photos.prnewswire.com/prnh/20130716/CL47933LOGO

To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/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-300088183.html

SOURCE Teradata