Side-by-side comparison of AI visibility scores, market position, and capabilities
Keepit is a SaaS-native backup platform for Microsoft 365, Google Workspace, and other SaaS data, operating on vendor-independent cloud infrastructure in Copenhagen.
Keepit is a SaaS data protection platform that provides backup and recovery for Microsoft 365, Google Workspace, Salesforce, Dynamics 365, and other SaaS applications from a cloud infrastructure that Keepit owns and operates independently — a deliberate architectural choice that eliminates the dependency on the same cloud hyperscalers (Microsoft Azure, AWS, Google Cloud) that host the SaaS applications being protected. This vendor-independent infrastructure model addresses a specific resilience concern: if a company backs up Microsoft 365 data to Azure, both the primary data and the backup are exposed to the same Microsoft infrastructure incidents, whereas Keepit's independent infrastructure provides genuine resilience separation. The platform operates its own global data center network with storage nodes that are geographically distributed and isolated from the major hyperscaler availability zones.
Zerto delivers continuous data protection and disaster recovery for virtualized and cloud workloads, enabling near-zero RPO recovery as a Hewlett Packard Enterprise product.
Zerto is a continuous data protection and disaster recovery platform that uses journal-based replication to capture every write operation to protected virtual machines and cloud workloads, maintaining a rolling recovery journal that enables point-in-time recovery to any second within the journal window rather than only to the most recent backup snapshot. This approach collapses the recovery point objective for protected workloads to near-zero — seconds rather than hours — fundamentally changing the data protection economics for organizations whose business-critical applications cannot tolerate the data loss that snapshot-based backup schedules produce. The platform's continuous replication engine operates at the hypervisor level without agents in protected VMs, capturing changes with minimal performance impact while maintaining the journal that enables granular recovery point selection.
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