Recently, users have been more interested in the development of a dynamic mashup application that integrates and renders large amounts of real-time sensor data and geospatial data. However, such a dynamic mashup application has caused performance issues in large amounts of real-time sensor data integration and time series rendering. In this study, we compare and analyze the dynamic mashup performance characteristics of various types of map platform. For accurate performance comparison, we define performance comparison metrics of data loading time, mashup time, and user interaction time. We also implement a mashup prototype system composed of a Geoweb client, a sensor data server, and several map platforms in order to efficiently perform various experiments. The experimental results show the mashup performance characteristics of Google Maps, OpenStreetMap (OSM), VWorld, olleh Map, Daum Map, and Naver Map. Finally, we present which map platforms have good and stable performance in the dynamic mashup of large amounts of sensor data.