Recently IBM had announced that it is combining all-flash and storage software and optimizing it for Hortonworks Elastic Storage Server (ESS) with Spectrum Scale. Certified with the Hortonworks Data Platform (HDP), this new ESS solution is built for enterprise clients running exabyte-scale big data analytics, cognitive and AI applications. The solution will give clients more choice in platforms for their big data analytics on data processing engines like Hadoop and Spark, while delivering a 60% improvement in data throughput and over 55% reduction in storage capacity required.
In order to run analytics on either Hadoop or Spark or both, IBM Spectrum Scale storage software combines data from silos across the enterprise into a single view. The unification of file, object, and Hadoop HDFS data storage shortens time to results and reducing data capacity needs. The solution is powerful enough, from a performance perspective, to run complex applications from machine and deep learning clusters to image recognition of cancer cells.
Superior performance and economic benefits are always a plus, but the IBM ESS with Spectrum Scale also provides features such as redundant data paths, distributed erasure coding, and end-to-end checksums. The solution has been able to deliver five nines of availability against unscheduled downtime. And the solution supports a wide variety of network protocols and tiering across flash, disk, tape, and cloud storage systems. The solution will also support the forthcoming NVMe-based storage solutions from IBM.
Availability
The IBM All-Flash Elastic Storage Server (ESS) with Spectrum Scale solution is expected to be generally available on August 25, 2017 but the company is currently taking orders for the solution.
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