Recent growth in the volume of data collected by sensors and terminals makes it increasingly difficult to batch process and analyze the data in a short time. This has created demand for higher-speed data storage systems that provide analysis results for many different phenomena. These systems, however, face an issue with rising power consumption, as they are designed to process a large volume of data.These new technologies consist of data conversion architecture that is 10 times faster than existing systems and convert data into formats that match data analyzing applications. They also feature distributed storage that reduces power consumption by suspending part of the computing resources according to the volume of data to be processed. This enables the accumulation of large volumes of data and different kinds of analyses at the same time in order to quickly grasp trends in various events and to reduce the power consumption of the distributed storage by one third in comparison to existing systems.