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HPE R0X89A Hedvig Primary Storage
- Software-defined storage (SDS) solution.
- Supports block, file, and object storage protocols.
- Built on a distributed, scale-out architecture.
- Provides high availability and data resilience.
- Enables simplified management through a single pane of glass.
- Designed for cloud-native applications and modern data centers.
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Product Overview
HPE R0X89A Hedvig Primary Storage is a software-defined storage solution designed for modern data centers. It provides a unified, scalable, and resilient platform for block, file, and object storage, built on a distributed architecture.
Technical Information
| Product Type | Software-Defined Storage |
| Vendor | Hedvig (by Commvault) |
| Architecture | Distributed, Scale-out |
Additional Specifications
| Storage Protocols | Block, File, Object |
| Key Feature | Unified Storage |
Product Description
HPE R0X89A refers to Hedvig Primary Storage, a cutting-edge software-defined storage (SDS) solution developed by Hedvig, now part of Commvault. This platform is engineered to address the evolving needs of modern data centers and cloud-native environments by offering a unified approach to storage management. It consolidates block, file, and object storage capabilities into a single, highly scalable, and resilient system, eliminating the complexity and silos often associated with traditional storage architectures. The core of Hedvig Primary Storage is its distributed, scale-out architecture. This design allows the storage system to grow incrementally by adding commodity hardware nodes, ensuring performance and capacity scale linearly. Data is distributed across these nodes, providing inherent high availability and data protection without relying on specialized hardware. Features like erasure coding and replication ensure data durability and availability even in the event of hardware failures. Hedvig Primary Storage simplifies storage operations through a centralized management interface, offering a single pane of glass for provisioning, monitoring, and managing all storage resources. This unified approach reduces operational overhead and improves efficiency. It is particularly well-suited for environments running containerized applications, virtual machines, and big data workloads, providing the agility, flexibility, and cost-effectiveness required for these demanding use cases.
