Teradata today announced Teradata QueryGrid, a big data solution that optimizes analytics across enterprises.
Scott Gnau, president, Teradata Labs, said: “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.”
To deliver value from big data, customers should orchestrate their analytic processes from their parallel databases rather than federated servers.
Available in the third quarter of 2014, 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.
The company said 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.