Pure Storage FlashBlade and Amazon FSx compete in the storage solutions market. Pure Storage FlashBlade appears to have the upper hand in speed and simplicity, whereas Amazon FSx is favored for its AWS integration and scalability.
Features: Pure Storage FlashBlade offers impressive speed, seamless scaling, and ease of use, ideal for efficiently handling complex workloads. Amazon FSx is recognized for its integration with the AWS ecosystem, support for multiple file systems, and flexibility, providing broader functionality.
Ease of Deployment and Customer Service: Amazon FSx simplifies deployment within AWS environments with extensive support options for smooth integration and operation. Pure Storage FlashBlade provides straightforward setup and excellent support, accessible to those with limited technical resources. The main difference is AWS's broader ecosystem integration versus Pure Storage's user-focused experience.
Pricing and ROI: Pure Storage FlashBlade is appreciated for cost-effectiveness, strong ROI through efficient performance, and minimal maintenance costs. Amazon FSx has higher upfront costs, but its added features and seamless AWS integration justify this for long-term ROI through enhanced cloud capabilities.
Amazon FSx makes it easy and cost effective to launch and run popular file systems. With Amazon FSx, you can leverage the rich feature sets and fast performance of widely-used open source and commercially-licensed file systems, while avoiding time-consuming administrative tasks like hardware provisioning, software configuration, patching, and backups. It provides cost-efficient capacity and high levels of reliability, and it integrates with other AWS services so that you can manage and use the file systems in cloud-native ways.
Amazon FSx provides you with two file systems to choose from: Amazon FSx for Windows File Server for enterprise workloads and Amazon FSx for Lustre for high-performance workloads.
FlashBlade is the industry’s most advanced scale-out storage for unstructured data, powered by a modern, massively parallel architecture to consolidate complex data silos (like backup appliances and data lakes) and accelerate tomorrow’s discoveries and insights.
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