Abstract: Learned workload synthesis is disclosed. In an aspect of the present disclosure, a time series dataset corresponding to a target workload is received. A set of performance characteristics is determined from the time series dataset. A call is provided to a prediction model to determine a candidate query sequence based on the determined set of performance characteristics. A synthetic workload is generated based on the determined candidate query sequence. A synthetic workload is generated based on the determined candidate query sequence. A first similarity between a first performance profile of the synthetic workload and a second performance profile of the target workload meets a workload performance threshold condition. A performance insight is determined based on the synthetic workload. In a further aspect, the prediction model is trained to predict performance profiles based on workload profiles generated by executing benchmark queries using hardware and/or software configurations.