Based on the remote sensing retrieval products of the Ozone Monitoring Instrument (OMI) and the TROPOspheric Monitoring Instrument (TROPOMI) from December 2018 to November 2019, the data miss rate of the tropospheric NO2 column concentration from the two sensors in China is calculated, and the difference in spatial and temporal distribution of the two sensors’ data is also analyzed. The results are shown below. (1) During this period, the data miss rates from both sensors present a “S” shape change; the monthly data miss rate from TROPOMI is lower than that from OMI; the annual mean data miss rates from TROPOMI and OMI is 3.98% and 36.22%, respectively. The different resolutions of different sensors may account for the result. (2) In China, there is a certain correlation between the tropospheric NO₂ concentration data from the two sensors, and the correlation coefficient is 0.844. The annual mean tropospheric NO₂ column concentration from TROPOMI is higher than that from OMI. As for seasonal difference, the result of TROPOMI is 57.5% higher than that of OMI, because the OMI data is modified using other satellite observations in the presence of clouds, which reduces the result by 15% on average but does not affect seasonal variation trend. (3) Furthermore, the correlation is found satisfactory in autumn and winter, but relatively poor in spring and summer. This is because the NO₂ column concentration in spring and summer is easily affected by other gaseous pollutants, and the retrieval methods of the two sensors are different, which causes some systematic errors. (4) In the case of heavy pollution, the pollution area detected by TROPOMI is 1.54% larger than that by OMI for most seasons, and the pollution area obtained by TROPOMI is 0.86% smaller than that by OMI only in the case of the most serious pollution in winter. (5) The spatial and temporal differences between TROPOMI and OMI data are obvious in eastern China, and the monthly mean result of TROPOMI is 10.21% larger than that of OMI, while the differences in western China are not significant. In addition, the results of different urban agglomerations in China are also different.