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Spark is one of the most widely used frameworks for data analytics that offers fast development of applications like machine learning and graph computations in distributed systems. In this paper, we present SPynq: A framework for the efficient utilization of hardware accelerators over the Spark framework on heterogeneous MPSoC FPGAs, such as Zynq. Spark has been mapped to the Pynq platform and the proposed framework allows the seamless utilization of the programmable logic for the hardwaredoi:10.5281/zenodo.836712 fatcat:dynuug3zanfypgywhb5qmofpnq