The age of the information explosion has recently been raising various opportunities for big data analysis. On the other hand, the progress in hardware developments has seen a significant increase in the capacities of mountable memories. The InfoFrame DataBooster has been meeting the needs for high-speed processing of big data by using an in-memory data processing technology based on column store. This paper introduces differences between the regular RDB and the InfoFrame DataBooster. It goes on to discuss the background and method of development of the SQL interface of the latest version, the method of use of the InfoFrame Databooster and the application domains (case studies).