A new benchmark harness for systematic and robust evaluation of streaming state stores

Modern stream processing systems often rely on embedded key-value stores, like RocksDB, to manage the state of long-running computations. Evaluating the performance of these stores when used for streaming workloads is cumbersome as it requires the configuration and deployment of a stream processing system that integrates the respective store, and the execution of representative queries to collect measurements.