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Clearsense Adds Hadoop Backup with Cohesity

Industry

Healthcare

Region

Americas

Use Cases
  • Backup and Recovery
  • Disaster Recovery
  • File and Object
Products
  • DataProtect
  • SmartFiles
Industry

Healthcare

Region

Americas

Use Cases
  • Backup and Recovery
  • Disaster Recovery
  • File and Object
Products
  • DataProtect
  • SmartFiles

50x

faster backups compared to Veeam

We use the Cohesity data management solution for both our traditional and modern data sources to make backups of AHV and Hadoop workloads as well as disaster recovery, and file sharing much more expedient. We’ll avoid spending thousands, if not millions of dollars, as data grows.

Charles Boicey, MS, RN-BC, Co-Founder and Chief Innovation Officer, Clearsense

At a Glance

Clearsense chose the modern, scale-out Cohesity data management solution because it met all of the backup and recovery requirements for traditional and modern data sources that Veeam could not, scaling both data flows and data storage.

Challenge

As Clearsense progressed toward delivering its first advanced data science solution for healthcare using Hadoop, it realized it also needed a way to protect its modern data workloads against cyberthreats. However, the Veeam product it was using for backups was not robust enough to handle the requirements.

Solution

Clearsense deployed Cohesity for integrated, comprehensive data protection of traditional and modern data sources, including Hadoop, HBase and Hive data, Nutanix, and physical, bare metal servers, file sharing, and DR—improving data management speed and performance.

Result

Clearsense also has expanded its use of the Cohesity platform for production file and object data.  After achieving benefits with backup, Clearsense rolled out Cohesity SmartFiles capabilities for data-centric file sharing, lowering its costs. Cohesity is also integrated into Clearsense staging and testing environments.

Related Products

Simplify your data management for backups, file shares, object stores, dev/test, and analytics.

Related Solutions

The smarter, simpler way to solve mass data fragmentation.

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