Druva has been recognised as a Strong Performer in Forrester’s September 2019 report, The Forrester Wave: Data Resiliency Solutions, Q3 2019. The report evaluated 10 vendors based on 40 criteria, including current offering, strategy and market presence.
“Digital transformation and the sheer growth of data is challenging IT teams to find solutions that can protect enterprise data at scale, while simultaneously reducing costs,” said Mike Palmer, Chief Product Officer, Druva. “In addition to lowering costs by up to 50 percent and simplifying administration, Druva creates visibility and centralised access to data for use across the enterprise, ranging from DevOps to governance, disaster recovery and more. Our inclusion in this year’s Forrester Wave is validation of Druva’s success helping customers realise the next generation of data protection.”
In the report, Druva received the highest possible score in 11 criteria, including product strategy, customer service, global management and reporting, and security. Forrester noted that “Druva’s SaaS delivers immense value and quick time to market. Druva stands firm with its unique position of delivering data resiliency as a service.” Additionally, the report noted that, “Its easy-to-understand solution offers comprehensive reporting,” and “Druva is a good fit for organisations that want to augment existing data protection solutions that do not cover cloud deployments.”
In highlighting the increasing importance of data resiliency, the report noted, “Fast-paced digital transformation has technology and business leaders scrambling to become competent in multiple domains and is forcing I&O leaders to bolster their data resiliency practices. Privacy regulations like GDPR and CCPA stipulate how firms can process, store, and use data. Ransomware attacks have increased in frequency, intensity, and impact. Agile application development and new platforms like containers make data protection an afterthought. Multicloud environments, edge computing, and containers distribute data closer to business applications; this scattering of data requires I&O to take a fresh approach to data resiliency.”
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