In recent years the phenomenon of localized burst has increased in Japan. The disaster caused by local heavy rain is often serious, and disaster prevention measures have become urgent. X band MP Radar (called XRAIN) was Installed throughout Japan because of high spatial resolution, which was higher than that of conventional radar, the shortened observation time was useful for localized burst. However, the quantity of data of XRAIN are on a macroscale approximately 1,000 times bigger per day than conventional radar, thus, it was not easy to develop an environment that accumulated data in data-producing, and information sharing was difficult. Therefore, on DIAS, which is a earth environment data platform with the largest volume of storage in Japan, an information platform that acquired and accumulated and shared XRAIN data was developed for the purpose of information sharing. In this study, we addressed three problems in handling large-capacity data: 1. Processing delay, 2. Overlapped data, 3. Low presentation speed. We implemented solutions to these problems and develop a stable information platform on DIAS. As a result, DIAS contributes to the study of flood disaster prevention measures and is the most important information platform for XRAIN. In this paper, we introduce problems and methods are suggested for the solution, in addition, the implementation result that occurred in developing this information platform is reported.