Database systems used in the past were characterized by storing only current valid states., which is not., however., optimal for intelligent systems and applications. Temporal paradigm allows us to delimit the object state with the time validity regarding the modeled granularity. Temporal systems are based on the extension of conventional approaches., which do not provide powerful solutions. Database server architecture is described with emphasis on the optimization options to improve and shorten the data retrieval process. In this paper., we attach significance to the migrated row., which forces the system to load multiple data blocks from the database into the memory. The solution., based on the evolution steps., is implemented using the ...