Compare AWS Elastic Disaster Recovery vs. Hammerspace in 2026

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Description

AWS Elastic Disaster Recovery (AWS DRS) effectively reduces downtime and potential data loss by facilitating quick and dependable recovery for both on-premises and cloud-based applications. This service allows users to designate AWS as a disaster recovery site for applications that include both physical and virtual servers, such as databases. AWS DRS operates by continuously replicating your source servers to a designated staging area subnet within your AWS account, making use of economical storage options and requiring minimal computing resources. Should a disaster occur, recovery instances can be launched on AWS in just minutes, enabling the restoration of applications to their most recent state or to a previous point in time. Additionally, it offers the capability for non-disruptive testing and allows for failback to the primary site when necessary, ensuring that businesses can maintain operational continuity. This comprehensive solution is designed to enhance resilience and provide peace of mind in the face of unexpected events.

Description

Hammerspace innovatively leverages the local NVMe storage embedded within GPU servers, converting it into a high-performance, shared storage tier designed specifically for large-scale AI training and checkpointing workloads. This approach eliminates bottlenecks inherent in legacy storage systems that struggle to keep GPUs fully utilized, while significantly reducing power consumption and external storage expenses. The platform’s parallel file system architecture supports massive scalability, allowing data to be served simultaneously to thousands of GPU nodes with minimal latency. Hammerspace integrates seamlessly with existing Linux storage servers and supports hybrid cloud environments, enabling data orchestration between on-premises and cloud infrastructure. It delivers record-setting performance validated by MLPerf benchmarks, proving its efficiency for demanding machine learning workloads. Customers such as Meta and Los Alamos National Laboratory trust Hammerspace to optimize their AI data pipelines and infrastructure investments. With quick setup and intuitive management, Hammerspace helps organizations accelerate AI projects while reducing operational complexity. By transforming underutilized storage into a powerful resource, Hammerspace drives cost savings and faster innovation.