An NVMe-based SQL Query Engine for accelerating Big-Data Applications

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Author(s)/Presenter(s):

Stephen Bates

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Presentation

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Abstract

NVMe-based Computational Storage offers the key benefits of computational storage and aligns with a popular and open standard. Using Computational Storage we can build systems that have improved performance and higher efficiency when compared to legacy computer architectures. As Computational Storage becomes more pervasive we are seeing a move from basic Computational Storage Functions (e.g., compression) to more complex functions. In this paper we present a NVMe-based SQL Query Engine based on our NoLoad Computational Storage Device. We show how this Query Engine can be tied into big-data applications and how this can lead to improved performance and efficiency in data-center architectures.