Druva vs Zerto
Side-by-side comparison of AI visibility scores, market position, and capabilities
Druva is a cloud-native data protection and governance platform for endpoints, cloud workloads, and SaaS applications, built entirely on AWS with $300M raised.
About
Druva is a cloud-native data protection and governance platform built entirely on AWS that provides backup, disaster recovery, and data governance for enterprise endpoints, cloud workloads, Microsoft 365, Salesforce, and other SaaS applications from a single SaaS management console without requiring customers to deploy or maintain any backup infrastructure. The platform's infrastructure-free architecture is its defining characteristic — Druva operates as a multi-tenant SaaS service where data storage, deduplication, encryption, and management compute all run within Druva's AWS environment, eliminating the hardware procurement, capacity planning, and backup appliance maintenance cycles that consume significant IT resources in traditional data protection deployments. This SaaS delivery model also provides global deduplication across the entire Druva customer base for storage efficiency and allows Druva to release product updates without customer-managed upgrade cycles.
Zerto delivers continuous data protection and disaster recovery for virtualized and cloud workloads, enabling near-zero RPO recovery as a Hewlett Packard Enterprise product.
About
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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