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Teradata selects MellanoxTechnologies's InfiniBand interconnect solution
Dec 19, 2012 (Datamonitor via COMTEX) --
Teradata Corporation, a provider of enterprise analytic technologies and services, has chosen MellanoxTechnologies, Ltd.'s InfiniBand interconnect solution to accelerate the Teradata Aster Big Analytics Appliance.
The Teradata Aster Big Analytics Appliance is designed for demanding analytics which require high computational power and the fastest data movement. Assisted by Mellanox InfiniBand, the Teradata appliance offers up to 19 times data throughput and performs analytics up to 35 times faster than typical off-the-shelf commodity bundles, the company said.
Carson Schmidt, vice president of platform engineering at Teradata, said: "Teradata Aster Big Analytics Appliance is part of a truly unified, high-performance big data analytics architecture for the enterprise and will help customers achieve business value.The Mellanox InfiniBand interconnect is the best choice to enable the performance that is needed to analyze big data at a speed that no other analytic platform can deliver. This performance maximizes the return on investment and accelerates time to value."
Mellanox's InfiniBand interconnect technology provides consistent performance and reduced CPU overhead utilizing Remote Direct Memory Access (RDMA) technology. Mellanox's interconnect technologies deployed in the Teradata Aster Big Analytics Appliance include ConnectX-2 InfiniBand adapters and Mellanox InfiniBand switches, running at 40Gb/s InfiniBand speeds, the company added.
Gilad Shainer, vice president of market development at Mellanox Technologies, said: "Big data analytics has become a critical task for enterprises to achieve their financial goals - from a better understanding of consumer behavior to quick and timely fraud detection.
"We are delighted to see that our InfiniBand interconnect solution, integrated with Teradata Aster Big Analytics Appliance, provides the highest performance, scalability and reliability to enable the processing of large amounts of data and the delivery of results in a record time."
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