Quorum® unveils onQ Flex to offer businesses unparalleled data protection control and flexibility

New Disaster Recovery-as-a-Service (DRaaS) extension enables businesses to customise data protection tiers, drastically reducing DR costs and ensuring maximum uptime.

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Global financial services firm selects Tegile hybrid storage

International Decision Systems, a provider of software and consulting services to more than 250 customers in 34 countries, has implemented Tegile hybrid arrays to improve its data centre capabilities.

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Paragon Software Group releases Protect & Restore 3.5

Unified, scalable protection solution for heterogeneous IT infrastructures now with enhanced performance, a new powerful deduplication mechanism, the most efficient Exchange database backup and recovery, protection of virtual machines hosted by Microsoft Hyper-V, Paragon’s proprietary patent-pending data processing techniques and more!

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ATD partners with Pancredit for data migration

Leeds-based Pancredit, which specialises in loan administration software for lenders and their intermediaries, has appointed ATD Solutions as its data migration partner.

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Over 6,000 UK pharmacies are to benefit from improved network performance and efficiency following...
The demand for capacity is growing exponentially in enterprise storage systems at small-to-medium...
System simplifies large scale management of networked devices and objects, and provides business...
Adopting a big business ethos can significantly reduce avoidable data losses says Databarracks
Druva has expanded its support for channel organisations and technology businesses through a new...
Zerto-powered solution helps deliver non-disruptive disaster recovery processes and simple testing...
Latest Video

How Clifton College solved its data backup problems

Clifton College is one of the UK’s leading co-educational independent schools. Cristie Data provides the Bristol-based private school with a fully managed, scalable and reliable cloud backup solution that protects pupil data and can easily scale to meet future data growth.

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