BIG DATA class conservative-type clusterix-like DBMSs

The reasonability of developing a conservative type DBMS with episodic data updating is determined by the features of OLAP-technologies. The issues of creating such DBMSs require serious discussion. In this review we systematize the main results of research of the research group of Clusterix KNITU-KAI on conservative DBMSs based on computational clusters. The purpose of the performed researches is actual: development of approaches to synthesize comparatively effective by the criterion “performance/cost” domestic Big Data class DBMSs. The comparison was made with the best foreign open systems. The developed DBMSs are available for use by organizations with limited financial resources. Due attention is paid to the elements of the theory of cluster DBMS of the conservative type. The basic configurations of Clusterix systems, the dynamics of such DBMSs, and the effects of their selforganization are considered. The research is based on the constructive system modeling methodology.