Converged Architecture in the Cloud

Druva’s cloud-oriented architecture for data protection handles parallel workloads with uncompromised throughput and speed.

Platform

Built on native public cloud infrastructure, the core of Druva’s platform is a scale-out secondary storage architecture for unstructured and structured information. Distinct metadata and data separation unlocks the value of data for multiple workflows by leveraging the same data blocks for parallel use cases.

Amazon Web Services, Microsoft Azure
Metadata

Instant and efficient access and storage of data provides foundation for global deduplication

Data

Scalable, cost efficient object storage with multithreading maximizes IO

Caching

Local object caching accelerates data access

Auto-tiered Storage

Nearline and cold storage automatically optimize based on cost and SLAs

Index Engine

On-demand data parsing readies data for compliance and audit queries

Foundation

These core secondary storage architecture technology innovations are the foundation for the primary platform modules and facilitate fast, cost effective data handling of multiple parallel workloads that utilize a single, common underlying dataset.

Single Instance Storage

Increases performance, while significantly reducing bandwidth, storage usage and system costs.

Time-indexed Data System

Provides immediate, time-based storing and retrieval of data. Instantly access data from a snapshot years old.

Full Text Search

Powerful, fast search of global data for compliance and eDiscovery needs.

Services

Data is captured once as backup, and leveraged for multiple data protection needs, including restores, disaster recovery, search, compliance and information governance. Supporting multiple workloads on a common dataset significantly lowers a business’ total IT costs. With no additional software, infrastructure or replicated storage, organizations can streamline data management and increase overall business agility.

Services

Solution

From a single, integrated dashboard, Druva enables organizations to manage the resiliency and governance of their global data footprint. Not only can they maintain comprehensive data security, but comply with rapidly evolving global compliance and data privacy regulations.

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