Find out what your peers are saying about Veeam Software, Commvault, AvePoint and others in SaaS Backup.
If yours is like most enterprise companies, backup is your single largest application in-house. That typically means you are running multiple legacy backup solutions (NetBackup, Commvault, Spectrum Protect, etc.) for various business units. This results in high administrative time and less-than-stellar data protection.
With Cobalt Iron’s backup SaaS solution, you can eliminate complexity, dramatically reduce the time you spend on backup, and significantly improve your data protection performance. The result is a comprehensive data protection solution that is flexible, manageable, and affordable.
Compass is a new approach to data protection harnessing analytics and automation to drive out cost and complexity while delivering reliable protection and valuable data insights to the business.
IBM Storage Protect Plus provides comprehensive data protection and management for cloud and on-prem environments, known for quick data retrieval, efficient backups, and seamless restoration, particularly in virtualized settings.
IBM Storage Protect Plus is designed for robust data protection strategies, excelling in virtualized environments with strong support for VMware and Hyper-V. Users benefit from its simplicity and automation features, which significantly reduce administrative overhead, making it a favorite among IT professionals. The software ensures compliance and security, offering reliable data recovery capabilities, comprehensive protection features, and an easy setup process. Its scalable architecture and seamless platform integration, combined with intuitive management and monitoring tools, make it a valuable asset for many organizations.
What are the key features of IBM Storage Protect Plus?IBM Storage Protect Plus is implemented across various industries like finance, healthcare, and manufacturing, where data protection and quick recovery are critical. Its integration capabilities and ease of use make it a suitable choice for organizations dealing with large datasets and complexities of data management.
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