The dual-frequency precipitation radar (DPR) onboard the Global Precipitation Measurement (GPM) core satellite can provide information on drop size distribution (DSD) to improve rainfall estimation. The ground-based dual-polarization radar has great advantages for rainfall estimation, owing to the greater accessibility to information about the DSD and hydrometeor type. In this study, the three-dimensional rainfall products from DPR, with normal scan (NS), matched scan (MS), and high sensitivity scan (HS) mode, and C-band dual-polarization radar (CDP) were compared based on the volume matching algorithm and hydrometeor identification. The reliability of CDP rainfall and DSD parameter estimation for liquid samples was evaluated using rain gauge and disdrometer data. Rainfall relations for non-liquid samples for CDP were obtained via scattering simulation. An intercomparison of reflectivity revealed correlations of more than 0.8 for all three DPR scanning modes for stratiform and convective precipitation. Rainfall comparison performance of the MS mode was slightly better than that of the NS mode for liquid samples, especially for convective precipitation, which may be attributed to MS mode having the best consistency of mass-weighted mean diameter estimation. The HS mode showed good agreement, with respect to stratiform rainfall, but poor agreement, with respect to convective rainfall. For non-liquid samples, the biases were within 0.8 mm/h. The NS mode showed the best agreement, followed by the HS mode; however, the consistency was worse than that for liquid samples. Given the different physical characteristics of hydrometeors, our findings highlight the importance of rainfall estimation based on hydrometeor phases.