American Data Centers announced that it has joined the NAKIVO Cloud Backup and Disaster Recovery Ecosystem. American Data Centers can now offer cloud-based Backup-as-a-Service and Disaster-Recovery-as-a-Service powered by NAKIVO Backup & Replication Cloud Provider Edition. As an ecosystem member, American Data Centers can deliver fast, reliable, and affordable cloud backup and disaster recovery services for VMware environments, including onsite VM backup for fast operational recovery as well as VM backup and replication to the cloud for disaster recovery.
“Virtualization backup onsite and in the cloud is a must have for our customers,”
said Michael Marchuk, Senior Technical Director, American Data Centers.
“Cloud backup from NAKIVO with multi-tenancy has enabled us to save 53% in VMware data protection operating expenses versus our previous legacy VM backup solution. With the NAKIVO self-service, users can drive and manage their VM backups, replicas and recoveries onsite and offsite all themselves while also saving backup disk space by up to 30 to 1 with NAKIVO deduplication and compression enabled.”
“We are pleased that American Data Centers, a leading data center colocation and cloud services provider in United States, has joined the NAKIVO Cloud Backup Ecosystem,”
said Bruce Talley, NAKIVO CEO and co-founder.
“With NAKIVO, American Data Centers is now able to further enhance their cloud services business with a more cost effective and feature rich VM backup solution.”
Built for virtualization, NAKIVO Backup & Replication has been certified by VMware and offers a complete VM data protection feature set for SMB, enterprise, and cloud provider virtualized environments. The product is purely agentless, can be deployed on Windows and Linux, backs up and replicates VMware VMs onsite, offsite, and to private/public clouds, supports live applications and databases, instantly recovers files and application objects directly from compressed and deduplicated VM backups, speeds up data transfer with network acceleration, and reduces data size with global deduplication and compression.