AWS Backup

Automated Backup Testing and Verification

Goes beyond monitoring whether backup jobs completed by verifying the integrity of data restoration.

Analytics

Built-in real-time and historical reporting and analytics on SLAs, performance, and resource consumption, as well as predictive capabilities to plan & optimize.

Replication for Long Term Storage and Disaster Recovery

Onsite backup data is replicated and stored to a public cloud (AWS, Azure). Can also include restore-to-cloud capabilities for Disaster Recovery as a Service.

Backup of Cloud Based Data

In addition to targeting backups to the cloud, the solution also has the capability to back up primary data and services already in the cloud.

Replication for High Availability

Beyond secondary copy backup, the solution also manages replication of primary data host-to-host and site-to-site for live failover and high availability.

Virtual Machine Backup

Automatically discovers and protects VMs as they come online, move, and change. Production VMs are replicated to a secondary data store.

Backup Monitoring and Reporting

Backup and replication are continually monitored for status and effectiveness. Detailed reporting is available on successful and unsuccessful operations.

Backup Automation

Solution automates backup, recovery and remediation tasks using RestAPI and CLI to integrate with 3rd party solutions, reduce cost and enforce standards.

Application Awareness

Application consistent backup and granular restore for application data from core applications such as MS SQL, Oracle, MS Exchange, MS SharePoint.

File Explorer Granular Restore

Individual files can be located and restored from backup media without the need for full system mounting and restore.

Ease of Implementation

Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features

Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration

Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features

Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness

End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Business Value Created

Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Vendor Support

The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization

Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration

This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Availability and Quality of Training

Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement

Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.