Dell PowerScale vs. Qumulo Core
Dell PowerScale
Scale-out: Scale-out up to 252 nodes and 186PB¹ capacity. Up to 2.5x greater node scale-out and up to 5x greater raw capacity scale-out to support massive unstructured data growth and infrastructure consolidation. [database-with-plus-icon]
Data Resiliency: Adaptable data resiliency. Data protection levels across the cluster can be custom-tailored to workloads and data lifecycle to help improve data efficiency. [network-topology-icon]
Uptime Tolerance: Uptime tolerance for up to four node failures. Tolerance of up to four simultaneous node failures enables robust availability as clusters scale to multi-PB range. [server-stack-icon]
Data Reduction: Comprehensive in-line data reduction. Capabilities for zero block removal, in-line deduplication, and in-line compression result in smaller storage footprint, which can reduce power and cooling requirements and lower overall per-TB storage cost. Also, by reducing the amount of physical data written to storage devices, in-line data reduction helps to reduce flash-drive wear rates and extend the life of solid-state media. [data-flow-icon]
Cyber-security: API-integrated cyber-security. Ransomware Defender offers real-time event processing with user behavior analytics and automated actions to help to detect and halt ransomware attacks. Integrated operational airgap cyber-vault capabilities help to isolate recovery data from attackers. [shield-with-lock-icon]
Cloud Tiering: Automated tiering of cold or infrequently accessed data to cloud archival repositories. Policy-driven tiering extends PowerScale namespace to any S3-compatible cloud archival repositories, enabling a single, intelligent framework for managing both active and inactive data. Archive data in the cloud is still visible and retrievable from within PowerScale OneFS. [cloud-download-icon]
Cluster Scaling: Flexible incremental cluster scaling. Capability to non-disruptively add or remove nodes as well as retire and re-purpose nodes. Ability to seamlessly mix node types and generations within a cluster. [connected-nodes-icon]
Data Resiliency Levels: Adaptable, multi-level data resiliency within a cluster. Data protection levels can be custom-tailored to workloads and policy-managed to adapt to data lifecycle so data resiliency and data efficiency can be concurrently optimized within a cluster. [upward-trend-graph-icon]
Qumulo Core
Scale-out: Scale-out to up to 100 nodes and 36PB capacity. Limited scale constrains ability to support growth and infrastructure consolidation. [network-topology-icon]
Data Resiliency: Unchangeable data resiliency. Fixed and homogeneous data protection levels across the cluster can decrease data efficiency. [server-stack-icon]
Uptime Tolerance: Uptime tolerance for just one node failure. Tolerance of only one node failure results in less robust availability as clusters scale. [data-flow-with-cross-icon]
Data Reduction: No data reduction. No capabilities for zero block removal, deduplication, or compression. [data-flow-with-cross-icon]
Cyber-security: No API-integrated cyber-security. Reliance on outside software providers for cyber-security can add complexity and cost. [shield-with-lock-and-cross-icon]
Cloud Tiering: Manual copy of cold or infrequently accessed data to cloud archival repositories. No policy-based capability to tier inactive data to cloud S3 archival repositories. Manually copying data to S3 archival storage (only AWS is supported) can be labor-intensive at scale. Archival data copied to cloud S3 repositories is not visible or retrievable from within Qumulo Core. [cloud-download-icon]
Cluster Scaling: Limited cluster scaling flexibility. No software capability to non-disruptively remove nodes or retire and re-purpose nodes. [connected-nodes-icon]
Data Resiliency Levels: Homogeneous data resiliency level within a cluster. Just one data protection level can be enabled in a cluster, which can force compromise between data resiliency and data efficiency. [upward-trend-graph-icon]
¹ Capacity available in PowerScale F900. Maximum cluster capacity varies by model.
Comparison based on publicly available information, July 2022.
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