Storing and processing data of mineral resources usually imply large amounts of data. So increasing data search operation speed is the subject of a notable interest. User of any relational data base, as a rule, imagines it as a set of normalized relations (tables). These tables, at the physical level, can be represented in the different ways. The paper is dedicated to the analysis and comparison of cortege (traditional) and domain (transposed) ways of storing data relations.