Abstract: We evaluated the performance of four merged analysis products (CMPAS_RT_Res01, CMPAS_NRT_Res01, CMPAS_FAST_Res05, and CMPAS_FRT_Res05) developed by the National Meteorological Information Center of China Meteorological Administration and CMORPH and FY-4A satellite products to capture a regional rainstorm process (23–24 August 2020) in Tianjin. For this evaluation, we used the hourly precipitation data of 254 ground observation stations in Tianjin. The results showed that precipitation data from the merged analysis products and satellite data effectively capture the observed spatiotemporal structures, reproducing more precipitation in the north and less precipitation in the south for the studied process. We calculated statistical indexes (e.g., mean error, mean absolute error, root-mean-square error, correlation coefficient, and rates of missing and false judgments) between all precipitation products and observations. Overall, the four merged analysis products are closer to the observations than the two satellites, and the care lower for the former products. Finally, we also calculated the threat score (TS) and the rainy day and sunny day classification accuracy (Percentage of Correct, PC) of the merged analysis and satellite products in each precipitation grade. The results indicated that the higher the precipitation grade, the lower the TS and PC. The TS and PC of the merged analysis products were better than those of the satellite products with CMPAS_RT_Res01 and CMPAS_NRT_Res01 higher resolution than CMPAS_FAST_Res05 and CMPAS_FRT_Res05 products. Our findings contribute to a better understanding of the applicability of the four precipitation merged analysis products to heavy precipitation events in Tianjin, providing a scientific reference for using these products in operational forecasting practices for Tianjin.