Fujitsu Cures Petabyte-scale Data Capacity Management Headaches with Launch of new Hyper-scale Storage ETERNUS CD10000

Sydney, October 28, 2014

As organisations continue to grapple with the problem of how to leverage Big Data as they cross the Petabyte divide, Fujitsu today introduces the world’s first storage system designed to grow as big and last as long as the online data it hosts. By creating a storage eco-system with unlimited capacity that is capable of living forever, the Fujitsu Storage ETERNUS CD10000 helps organisations eliminate the major headaches associated with the exponential growth of data.

With the global amount of data generated and kept online continuing to multiply, organisations face three key problems: increased demands on scalability, greater complexity and cost, and physical limitations on the future ability to actually migrate data between storage systems without major disruption. Collectively, these factors dictate that businesses need a new approach to traditional storage as they move into the era of keeping tens of petabytes (PB) of data online, all the time. To put the sheer data volume into context, one PB of data is equivalent to approximately 100,000 hours of full HD 1080p video.

The architecture of this new hyper-scale, distributed scale-out eco-system allows individual storage nodes to be added, exchanged and upgraded in an organic way without downtime, helping the entire system – and its data – to live forever. Backwards compatibility means newer nodes can work alongside older, guaranteeing investment protection in the new ETERNUS system.

Truly unlimited scalability: A new era of no-limits storage capacity
The new ETERNUS CD10000 system heralds a new era of extremely high capacity solutions for everyday data retention and management problems. At launch, the system supports capacities up to 56 PB (56,000 TB) of online data, through the aggregation of up to 224 storage nodes. Next year, Fujitsu will introduce updates allowing for a far higher scalability.

Fujitsu delivers compelling new economics for organisations managing online data sets of 250 TB or more, such as cloud and telecommunication service providers, financial, media and business analytics organisations, plus any other environment where online data volumes are exploding.

Fujitsu has based the new enterprise-ready system on the open source-based storage software Red Hat’s Inktank Ceph Enterprise and added functional enhancements to deliver comprehensive management, with the system operated as a single pane of glass. On a global level, the complete and comprehensive Fujitsu maintenance and support services enable customers for the first time to rely on the delivery of true enterprise-class service levels for a storage system based on open source software. ETERNUS CD10000 offers the unique ability to present a truly unified view of block, object and file storage in a single distributed storage cluster – reducing complexity, lowering storage management costs and optimising existing physical disk space for data storage.

Pricing and availability

The new ETERNUS CD10000 system is available immediately, and can be ordered directly from Fujitsu and via storage-focused SELECT Expert Channel Partners. Prices vary by region, model and configuration.

Notes to editors

Online resources

• Further Fujitsu Hyperscale Storage System ETERNUS CD 10000

• Fujitsu Storage ETERNUS Systems:
• Website: www.fujitsu.com/eternus-cd 
• Whitepaper: http://docs.ts.fujitsu.com/dl.aspx?id=849330e9-bb19-43fa-9ce1-a4d2954b74a4 
• Datasheet: http://docs.ts.fujitsu.com/dl.aspx?id=e826f097-3354-4d7d-ab2c-13186a509cf8
• Royalty-free photography: http://mediaportal.ts.fujitsu.com/pages/view.php?ref=33901&search=%21collection4+%2C+tags%3AETERNUS+CD%2C&order_
  by=field12&sort=DESC&offset=0&archive=0&k
• Product video: http://mediaportal.ts.fujitsu.com/pages/done.php?text=accessdenied&url=pages%2Fview.php%3Fref%3D34494%26search%3Dcd
  10000%26order_by%3Dfield12%26sort%3DDESC%26offset%3D0%26archive%3D0%26k 
• Brochure: http://docs.ts.fujitsu.com/dl.aspx?id=a8118762-0e30-408a-8c31-ffb0269c1faf

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