Fujitsu today introduces a new storage solution which leverages
software-defined storage technology to enable enterprises to master petabytes
of data distributed across multiple data centers and the cloud. The disruptive
file data platform from Qumulo is the most advanced solution for managing and
accessing file data, paving the way for the creation of new services and
applications in large-scale enterprise storage solutions.
Enterprises are recognizing the opportunities from analyzing multiple
sources of data to supercharge business operations. Processes as diverse as
diagnostic imaging, modeling, simulations, LIDAR, GIS, genetic sequencing and
video production all revolve around the creation and use of unstructured data.
However, managing substantial amounts of file data is often challenging,
especially as it can be distributed between the network edge - coming from IoT
devices - as well as on-premises and the cloud.
Qumulo's file system delivers real-time visibility, scale, and control of
data across on-premises and cloud, even at a granular level, allowing easy
system configuration and performance management.
Getting to grips with
unstructured data
Specifically designed for hybrid environments spanning the data center, private
and public clouds, Qumulo makes it possible for users to share information, while
supporting multiple storage protocols that enable data consolidation. This
allows for easier management of data in distributed environments and provides
the ability to absorb unpredictable, unstructured data growth and cope with
data demands from increasing numbers of applications, both on and off the
cloud.
"We're seeing plenty of claims that data is the new gold," says Olivier
Delachapelle, Head of Category Management, Product Sales Europe at Fujitsu.
"That's certainly the case, but before the data is of any value, all those
petabytes of unstructured data must be mined, managed and refined. Fujitsu's
new approach with the Qumulo solution is a custom-built, high-performance
information repository. It scales without limits and enables customers to rapidly
shift through vast amounts of data to find the nuggets of true value."
Dr. Thore Rabe, Vice President and General Manager EMEA at Qumulo comments:
"Organizations need a file data platform to meet the scale, performance, and
cloud requirements for their unstructured data environments. Qumulo is excited
to be partnering with Fujitsu to enable a seamless transition to modern
infrastructure that will accelerate time-to-results and cost containment."
Qumulo solution plays
a key role in Fujitsu's Data-driven Transformation Strategy
The Qumulo solution fits in the second stage of Fujitsu's four-layer
data-driven transformation strategy - which involves creating the target data
architecture, once the data transformation baseline is defined. Fujitsu's
broad portfolio for hybrid IT landscapes enables successful digital
transformation by controlling, protecting and securing data while also
maximizing its business value.
Fujitsu works together with customers to define target architectures,
analyze hybrid landscapes in terms of platforms, storage, workloads and data
management, and then to provide appropriate solutions. Once an organization has
established a transformation baseline, the next step is the creation of a
target data architecture to enable full access and control of data across edge,
core and cloud.
Scalable,
cloud-native Qumulo instances
The Qumulo solution rapidly scales to support tens of billions of files, and
the cloud-native file system allows for workloads to be seamlessly transitioned
to the public cloud. This means customers can extend short-term computing power
beyond their on-premises or hosted capabilities to manage spikes in demand, as
well as providing remote collaborators with instant access to data. Businesses
can also easily run microservices that leverage cloud data, via APIs enabling
application-level access.
Real-time visibility
and intelligent optimization
Qumulo provides real-time visibility into data and users, enabling effective
data management. Potential performance issues, such as massive spikes in
demand, and longer-term trends can be identified at a glance. Built-in machine
learning enables more than 90% of read requests to be handled in under one
millisecond from the built-in cache2. This is achieved by anticipating user
demands, pre-loading the data most likely to be requested next, and
automatically tiering data and optimizing file management and storage media
based on user behavior. A flash-first strategy means that 100% of write
processes and more than 98% of read processes are handled by much faster flash-based
drives, while data not immediately required is stored on inexpensive but slower
hard disk drives.
Pricing and
availability
Qumulo is available to order immediately from Fujitsu. A typical installation
starts with around 200TB of data. Pricing is in accordance with specification
and region.