Data warehouse powerhouse Teradata turns 35 years old this July and by all accounts the vendor has no intentions of slowing down when it comes to innovating. Its first ever data warehouse release debuted in 1984 and today it announced a new option for Big Data needs.
Teradata, whose client list includes nine of the top 10 telecoms and the top 10 commercial/savings banks, announced what it terms as the "most complete big data solution" in the industry: the Teradata QueryGrid which optimizes data analytics across the enterprise.
The QueryGrid, using a customer-chosen analytic engine and file system, drives analytic processing via a single SQL query, according to an announcement released Monday.
"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 pushdown processing into Hadoop, leveraging the Hive performance improvements from Hortonworks' Stinger initiative, delivering results at unprecedented speed and scale."
The news comes as enterprises are collecting, storing and analyzing more "Big Data" every day and finding the effort more burdensome as data piles continue to build. Teradata says QueryGrid provides a seamless, self-service access and analytic processing using one Teradata Database or Aster Database query.
"Attempts at federation have been unsuccessful for many reasons. To deliver value from big data, customers should create an architecture that allows the orchestration of analytic processes across parallel databases rather than federated servers," said Scott Gnau, president, Teradata Labs. " In addition, Teradata allows for multiple file systems and engines in the same workload."
For enterprises it means less data movement and duplication by processing the data where it lives. Data analysis can be done without special tools or IT intervention, says Teradata.
Queries can be initiated from a Teradata Database to access, filter, and return subsets of data from Hadoop, Aster, and other database environments to the Teradata Database for additional processing. The analysis can incorporate data from the Teradata Database and Hadoop.
The announcement states QueryGrid will be available in the third quarter of 2014.
