Achieve 360° Protection & Governance For End User Data
Druva inSync provides a single pane of glass for protecting, preserving and discovering information across endpoints and cloud applications – helping customers dramatically increase the availability and visibility of business-critical data while reducing costs, risk and complexity
inSync Use Cases
Endpoint Data Protection
Endpoint Data Protection
Cloud Application Backup and Archival
Cloud Application Backup and Archival
Data Compliance Monitoring
Data Compliance Monitoring
Federated Search
Federated Search
Legal Hold Management & eDiscovery Enablement
Legal Hold Management & eDiscovery Enablement
OS Migration and Device Refresh
OS Migration and Device Refresh
Under the Hood
Source-side Global Deduplication
Druva’s patented global deduplication offers class-leading efficiency and shrinks bandwidth usage by 80% —supercharging transfers.
Customer Access Only Security
Druva combines an advanced data-scrambling algorithm and a unique encryption model to guarantee your data is accessible only by your company.
AWS Infrastructure
Druva harnesses the native efficiencies and global reach of industry-leading cloud provider AWS, offering unmatched storage flexibility, data durability and security.
Fully Certified Cloud
AWS data centers include the following certifications: SOC1, SOC2, SOC3, ISAE-3402, PCI-DSS Level 1 and ISO 27001
One Data Set, Multiple Uses
A scale-out architecture with distinct metadata / data separation unlocks the value of data for multiple workflows by leveraging the same underlying data set.
Onsite Caching
Optional caching provides high-performance data handling with scheduled cloud synchronization, making data quickly available for rapid recovery.

Control Business Data Risks through End User Data Protection and Governance
IDC reviews the strengths of Druva inSync’s continually expanding offerings as an effective cloud-native information management solution that can simplify the complexity of managing and protecting business-critical end-user & cloud application data.
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