Both Huawei OceanStor and NetApp NVMe AFF A800 are competitive storage solutions. NetApp NVMe AFF A800 appears superior due to its advanced features, despite higher prices.
Features: Huawei OceanStor is known for high reliability, advanced data protection, and comprehensive security. NetApp NVMe AFF A800 is valued for performance, scalability, and low latency.
Room for Improvement: Huawei OceanStor users recommend improvements in the management system, better documentation, and operational enhancements. NetApp NVMe AFF A800 users suggest better cost efficiency, more intuitive configuration processes, and enhanced cost alignment.
Ease of Deployment and Customer Service: Huawei OceanStor is noted for a straightforward deployment process and responsive customer service. NetApp NVMe AFF A800 has a slightly complex deployment but excellent customer support.
Pricing and ROI: Huawei OceanStor is favored for lower setup costs and budget-friendliness, while NetApp NVMe AFF A800, though having higher initial costs, offers strong ROI through superior performance and operational efficiency.
Pure Storage FlashArray//X is the world’s first enterprise-class, all-NVMe flash storage array. It represents a new class of storage – shared accelerated storage, which is a term coined by Gartner – that delivers major breakthroughs in performance, simplicity, and consolidation.
OceanStor Dorado V3 is the industry's first all-flash storage that puts NVMe into commercial use. It is specially designed for enterprises' mission-critical businesses, meeting the most-demanding performance and reliability requirements of databases, VDI, server virtualization, and SAP HANA.
Your data is a gold mine. Get the most out of it - faster - with AFF A800. Designed for NVMe media, further accelerated with NVMe/FC connectivity to the host, AFF A800 all-flash systems deliver an incredible sub-200 microsecond latency. Providing more than 11.4M IOPS and 300GB/s throughput in a single cluster, AFF A800 redefines the limit of what’s possible with artificial intelligence and deep learning.
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