MapR Technologies, Inc., the Hadoop technology leader, today announced that it collaborated with HP to develop, configure and test a Reference Architecture for Big Data workloads built on HP ProLiant Generation 8 (Gen8) servers. MapR Technologies tested the platform using industry standard benchmarks that validate the ROI and performance. The HP Reference Architecture for MapR M5 can be used by customers to accelerate performance and improve efficiency in a broad set of use cases across any industry. The Reference Architecture is also available for use by value-added resellers when recommending, selling and supporting customers looking to harness the power of Big Data.
The MapR Distribution uses HP ProLiant Gen8 servers to analyze thousands of system parameters to optimize application performance, improve uptime and provide insight into a company’s IT infrastructure. IT is able to derive new business insights from Big Data through a platform to store, manage and process data at scale. The combined testing also validated the resiliency, high availability and data protection capabilities including Snapshots and Mirroring of the MapR Distribution.
“The combination of MapR’s technology, innovation and leadership in the Hadoop space and the HP ProLiant servers provides an ideal platform to store, manage and process data at scale,” said Jack Norris, vice president of marketing, MapR Technologies. “Customers can confidently deploy the HP Reference Architecture for MapR M5 as a blueprint for their success when working with Big Data datasets.”
“Organizations looking to extract actionable insight from Big Data analysis are challenged with the complexities of deploying, configuring, managing and monitoring the enterprise-grade analytics platforms required,” said Manoj Suvarna, director, product management, converged application systems group, HP. “With the HP Reference Architecture for MapR M5, based on the HP ProLiant DL380e Gen8 server, both commercial and public sector customers have access to an easy to manage, reliable, secure and economical platform for Hadoop users across a broad range of use cases.”