NetApp Introduced Two Big Data Solutions Based on E-Series

NetApp, Inc. announced solutions to manage the scale of data growth and complexity created by high-bandwidth applications, such as those for research and computational modeling and simulation.

As part of its investment in HPC, NetApp introduced two Big Data solutions, based on the NetApp E-Series platform, to address Big Data requirements, giving organizations the ability to solve bandwidth and density challenges, realize improvements in efficiencies and improve the time to results.

The solutions allow customers to breakthrough old performance barriers to unlock new insights, gain an unfair advantage with better, faster business decisions and create new business opportunities. With this announcement, NetApp adds to its portfolio of Big Data solutions designed to serve analytics, bandwidth and content repository requirements. The new solutions are designed to serve the needs of bandwidth-intensive needs in concert with the Lustre and Quantum StorNext parallel file systems.

The NetApp High Performance Computing Solution for Lustre is purpose-built to scale bandwidth and density with reliability to solve difficult research, modeling, and simulation problems. The solution shortens time to results and increases compute efficiency with a storage solution optimized for the Lustre file system. It also eliminates data bottlenecks with 30GB/sec writes and reduces power, cooling and operational costs by maximizing disk drive performance in less rack space.

The NetApp Seismic Processing Solution provides access to big data generated by seismic processing operations to help exploration teams make optimal decisions. The high density E-Series platform supports 1.8PB in each 40U rack. The solution manages high-bandwidth seismic processing operations with Quantum’s StorNext file system, and is purpose-built to allow for increased productivity and to deploy proven technology, backed by global support.

"NetApp is serious about high-performance computing," said Brendon Howe, Vice President of High Performance Computing, NetApp. "Our Big Data bandwidth solutions solve pressing needs in these key verticals and are tested and proven. They provide a shorter time to results with increased productivity and lower risk and costs."

"Storage continues to represent the fastest growing product segment, as small businesses, large enterprises, and research super computing facilities strive to analyze and store increasing amounts of data," said Addison Snell of Intersect360 Research. "Parallel file systems are a key technology for managing these growing data repositories, and NetApp’s performance-focused solutions incorporating Lustre and Quantum’s StorNext will address these needs in the marketplace."