Karakaya,Z.Yazici,A.Alayyoub,M.Software EngineeringComputer Engineering2024-09-102024-09-10201722978-153862752-510.1109/COMAPP.2017.8079733https://doi.org/10.1109/COMAPP.2017.8079733https://hdl.handle.net/20.500.14411/7349This study compares the performance of Big Data Stream Processing frameworks including Apache Spark, Flink, and Storm. Also, it measures the resource usage and performance scalability of the frameworks against a varying number of cluster sizes. It has been observed that, Flink outperforms both Spark and Storm under equal constraints. However, Spark can be optimized to provide the higher throughput than Flink with the cost of higher latency. © 2017 IEEE.eninfo:eu-repo/semantics/closedAccessBig DataFlinkSparkStormStream Processing FrameworkConference ObjectN/AN/A112