With growing market demands for faster processing of constantly growing datasets, more and more companies turn to in-memory computing in order to get real-time processing of their data and to obtain application scalability and high availability. In-memory computing is RAM based, and since RAM is costly, in-memory computing entails costs that are prohibitive to many organizations

This white paper reviews a potential solution for this issue with the newly launched XAP MemoryXtend. XAP enables a hybrid architecture which intelligently stores data on both RAM and SSD, allowing its users to enjoy both high speed processing and cheaper storage capacity. The paper presents a benchmark which weighs XAP MemoryXtend’s price against performance and shows that it is indeed the optimal solution in this context

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