Seagate Technology has helped international non-profit organisation CyArk overcome a major data management challenge with Seagate’s Lyve Cloud, the simple, trusted and efficient storage-as-a-service platform that offers full control of customers’ data without vendor lock-in or egress fees. CyArk’s team also leveraged Seagate’s Lyve Mobile data transfer services to efficiently migrate their massive datasets from multiple on-prem storage devices and server to Lyve Cloud.
CyArk is dedicated to digitally recording, archiving and sharing the world’s most significant cultural heritage sites with researchers, historians and educators. Each project generates multiple terabytes (TB) of unstructured data. As a result of the pandemic, CyArk went to a fully remote workforce, severely reducing access to their dedicated on-prem server that houses massive project datasets. They needed a solution that could provide their employees and stakeholders with always-on, secure and timely access to their data regardless of location.
“As a data-centric organisation, data mobility and accessibility are essential, so we needed to rethink the way we store, manage and share our data,” said CyArk’s CEO, John Ristevski. “After exploring options, we found that Seagate’s Lyve Cloud could provide us the most streamlined data access, sustain our workflows without disruption, and enhance productivity.”
“Digital transformation is critical for business continuity through the pandemic,” said Jeff Fochtman, Senior VP, business and marketing at Seagate. “Seagate’s Lyve edge-to-cloud mass storage solution helps organisations like CyArk to overcome the common data storage challenges related to cost and complexity. As a huge fan of CyArk’s mission to digitally preserve the world’s most significant heritage sites, I am excited and proud to support their passionate team with Seagate’s products, services, and expertise.”
Limitless storage makes it easier for businesses to store more data while Seagate’s collaboration with Equinix provides choice of compute for S3 workloads.