Different remote sensing instruments onboard TRMM and A-Train satellites provide global observations of tropical convection from many perspectives. However, condensing the information from the large number of pixel level observations in the studies of precipitation and clouds has always been a challenge. Gridded products from individual pixels present the climatology of the geographic distribution of precipitation and clouds, but do not provide information on the contributions and properties of the individual convective systems. Event-based datasets summarize the properties of each precipitation and cloud feature from the “snapshots” of convective systems from different instruments. Using the event databases from TRMM and A-Train observations, we can study the characteristics of various convective systems as well as their roles in producing cloud, precipitation, and lightning, and transporting trace gases and aerosols. In this presentation, the method used to create these databases is described and some of the studies of tropical convection using these datasets are briefly introduced.