Rubrik vs ServiceNow IT Operations Management

• Extremely fast restores of both file data and entire VMs via snapshots
• Incredible user-friendly interface that has what I found to be a low learning curve
• Easy to set up replication between sites for DR purposes
• Fantastic support when I have issues - time to initial contact is very low and resolution is almost always very quick
• Global search feature makes finding things very quick

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• Reports
• Lifecycle of an Object
• Web based solution

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• Anything Rubrik is missing can be developed with their open API
• It would be nicer if Rubrik had better networking options out of the box for machines being restored to a location other than their normal location
• Better node reporting or performance, we have had a few nodes need to be rebooted

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• Scan network is limited to their discovery tool, which is costly
• Integration to jamf and ubunto tools
• Agents TCO
• integration to password management tools which are critical for successful scans

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• The ability to deliver strong business continuity has been worth FAR more than we paid for the solution. Our previous backup system was undersized and underperforming, and RTO for a full outage was measured in weeks. Currently we can bring up core production within a few hours, and that is with a series of huge file servers - we expect to see that time drop as we break the servers out
• Having 365 and Azure backed up through Polaris has saved us from what would have been embarrassing client-facing issues when emails were lost or deleted.
• We are so much more confident in our systems that we are able to make system changes rapidly to keep pace with the company, knowing that we can always just take a quick backup and revert if needed. We are even using the Rubrik cluster to transition workloads between otherwise incompatible vCenter deployments, allowing us to seamlessly replace whole clusters with no downtime.

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• Eliminated a lot of manual processes with automation and sharing information across team.
• Cleaned up our CMDB from well below 40% accurate to well over 90%.
• AIOps finding anomalies and tying them to service maps.

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