Partnership with MapD will enable Huawei customers to query and visualize hundreds of billions of records in milliseconds
Chinese tech major Huawei has partnered with San Francisco based analytics firm MapD Technologies to develop GPU based data analytics solutions. Both the firms have signed an MoU in this regard.
The joint effort will see collaboration between Huawei’s FusionServer hardware and the MapD analytics platform to develop enterprise analytics solutions that would help organizations to search and visualize multiple billions of rows of data sets in milliseconds.
Under the terms of the agreement, both parties will commit engineering resources to a joint R&D initiative that will not only improve software and hardware integration, but also increase support for and connection to third-party applications. The teams will create demo environments at Huawei’s headquarters and OpenLab for enterprise solutions, where customers can road-test the solution with their own data.
According to the MoU, Huawei can sell MapD products across the globe and MapD will join Huawei’s solution partnership plan. Huawei is implementing the analytics firm’s Core database and Immerse visual analytics client internally on the FusionServer G5500. The G5500 is a heterogeneous server that can be used to build a supercomputing cluster composed of up to 32 GPUs.
“This partnership with Huawei will ensure complete compatibility with FusionServer G5500, delivering lightning-fast analytics and stronger support for our customers,” said Todd Mostak, CEO of MapD Technologies. “The sheer scale of many organizations means they create enormous volumes of data in their daily operations, which they then need to analyze. As MapD’s partner, Huawei can now provide a linearly scalable analytics platform which runs natively on their hardware.”
Qiu Long, President, IT Server Product Line, Huawei, said, “We are seeing stronger and stronger demand for real-time data queries, analysis and visualization of hundreds of billions or trillions of rows of machine-generated logs. Achieving ad-hoc data analytics at this scale in real-time is extremely challenging. We believe that GPU acceleration will play a pivotal role in the future of analytics and are excited to work with MapD to deploy its cutting-edge technologies to address these challenges.”