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Concurrent and Alluxio Team to Provide Scalable Data Analytics at Memory Speed

By   /  July 7, 2017  /  No Comments

by Angela Guess

A new press release states, “Concurrent, a global leader in storage, protection, transformation and delivery of visual assets, and Alluxio, developers of the world’s first system that unifies data at memory speed, today announced a joint solution that provides real-time data analytics and machine learning to help service providers analyze viewers’ preferences and video consumption patterns. The joint solution brings together Concurrent’s Aquari(TM) Storage platform with Alluxio Enterprise Edition (AEE) to provide a faster and more scalable alternative for Hadoop users than the Hadoop Distributed File System (HDFS). This combination allows service providers to quickly extract and analyze vast amounts of data that were previously discarded as useless, helping to identify actionable insights and discover new revenue and customer retention opportunities.”

The release goes on, “Alluxio provides a unified view of enterprise data that spans disparate storage systems, locations and clouds, allowing any big data computational framework to access stored data at memory speed. Alluxio runs critical workloads for numerous Global 2000 companies that include Baidu, Barclay’s Bank, CERN, ESRI, Huawei, Intel, and Juniper, among others. Concurrent Aquari Storage is a modern, intelligent storage system that features simultaneous support for multiple file- or object-based workloads. Built on a true scale-out architecture, Aquari Storage seamlessly and independently scales throughput and capacity. This translates into increased flexibility and scalability to better manage growing visual asset libraries and the applications that process them.”

Read more at Globe Newswire.

Photo credit: Concurrent

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