Compare DDN Infinite Memory Engine (IME) vs. DDN IntelliFlash in 2025

DDN Infinite Memory Engine (IME)

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DDN IntelliFlash

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Description

A combination of significant technological advancements and commercial trends is driving the need for an innovative approach to high-performance input/output operations. The emergence of various non-volatile memory (NVM) technologies is expanding alongside rapidly growing media capacities. Additionally, the adoption of diverse many-core processor architectures is resulting in increased I/O demands and more complex I/O requirements. Emerging high-value business sectors are leveraging analytics and machine learning, further pushing the limits of performance capabilities. Conventional file systems struggle to efficiently handle flash storage at scale, while the performance of hard disk drives diminishes with higher levels of concurrency. In this context, IME offers consistent job performance, enhances computation for data sets that exceed memory limits, accelerates I/O-heavy applications, and provides a reliable, cost-effective, and space-efficient solution for managing fluctuating data loads. This new paradigm is essential for meeting the challenges posed by modern data processing needs.

Description

DDN and Tintri's IntelliFlash systems merge high-performance capabilities with cost-effectiveness to create a fully functional intelligent storage infrastructure that independently fine-tunes SSD-to-HDD ratios while offering scalable performance. The management features are designed to save time and provide superb support for enterprise applications, allowing for the consolidation of diverse workloads with simultaneous multiprotocol support for block, file, object storage, and virtual machines, all on a unified platform. Additionally, these systems improve cost-efficiency through advanced data reduction technologies, quick backup solutions, robust disaster recovery options, and powerful analytics software that accelerates data insights. Furthermore, DDN's A³I solution effectively tackles the challenges of unstructured data management, addressing the demands of data-heavy applications. This architecture not only supports unstructured data but also enhances the performance and scalability for structured data types, including call and transaction records as well as consumer behavior analytics, ensuring that organizations can efficiently manage a broad spectrum of data. As a result, businesses can achieve enhanced operational efficiency while maintaining flexibility in their storage solutions.