Find out in this report how the two File and Object Storage solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
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.
HPE GreenLake for File Storage offers flexible, scalable storage solutions, catering to enterprise needs with on-premises services and a cloud-like experience. It aims to simplify data management while providing operational agility.
HPE GreenLake for File Storage empowers organizations with an on-premises cloud service model, offering a consumption-based approach that aligns costs with demand. It supports various workloads through quick deployment and efficient capacity management, making it suitable for enterprises seeking flexible data storage solutions. Businesses benefit from streamlined operations with a focus on optimizing performance and security.
What are the key features of HPE GreenLake for File Storage?In financial services and healthcare sectors, HPE GreenLake for File Storage is implemented to manage large volumes of sensitive data. Its scalability and security features provide valuable support for compliance and data protection, while the consumption-based model ensures cost control and flexibility in data handling.
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