Teradata Unveils QueryGrid to Couple Hadoop and Analytic Databases

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teradata_logo_miTeradata (NYSE: TDC), the analytic data platforms, marketing applications and services company, today delivered a complete big data solution with Teradata QueryGrid™, the software that optimizes analytics across the enterprise and beyond.

Organizations are seeking the ability to scale the breadth and sophistication of their data analytics to respond to the demands of business operations. The challenge is how to best orchestrate a wide variety of new analytic engines, file systems, storage techniques, procedural languages and data types into one cohesive, interconnected, and complementary analytic architecture.

Failed attempts at federation have given many vendors a black eye, as federated servers are typically implemented via a middleware server. Attempts at federation have been unsuccessful for many reasons. To deliver value from big data, customers should orchestrate their analytic processes from their parallel databases rather than federated servers. Teradata QueryGrid is the most flexible solution with innovative software that gets the job done,” said Scott Gnau, president, Teradata Labs. “After the user selects an analytic engine and a file system, Teradata software seamlessly orchestrates analytic processing across systems with a single SQL query, without moving the data. In addition, Teradata allows for multiple file systems and engines in the same workload.”

Teradata QueryGrid changes the rules of the game by giving users seamless, self-service access to data and analytic processing across different systems from within a single Teradata Database or Teradata Aster Database query. Teradata QueryGrid uses analytic engines and file systems to concentrate their power on accessing and analyzing data without special tools or IT intervention. It minimizes data movement and duplication by processing data where it resides.

Teradata pioneered integration with Hadoop and HCatalog with Aster SQL-H to empower customers to run advanced analytics directly on vast amounts of data stored in Hadoop,” said Ari Zilka, CTO, Hortonworks. “Now they are taking it to the next level with push-down processing into Hadoop, leveraging the Hive performance improvements from Hortonwork’s Stinger initiative, delivering results at unprecedented speed and scale.”

Teradata Database 15, with QueryGrid capability, offers bi-directional data movement and pushdown processing to open-source Hadoop, Aster Database, and other databases. Queries can be initiated from the Teradata Database to access, filter, and return subsets of data from Hadoop, Aster Database, and other database environments to the Teradata Database for additional processing. The analysis can incorporate data from the Teradata Database and Hadoop.

The Teradata Unified Data Architecture, which brings together the Teradata Database, Teradata Aster Discovery Platform, and Hadoop technology, makes it possible for Teradata QueryGrid to extend and enrich Teradata and Aster queries, providing users with robust insights.

Users that leverage the Teradata Database and Teradata Aster Discovery Platform benefit from Teradata QueryGrid bi-directional data movement and push down analytic processing. Teradata’s future vision includes creation of sophisticated options that can connect analytic engines and file systems, which extend processing across the enterprise.

Teradata QueryGrid capabilities will be available in the third quarter of 2014.


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