Performance and efficiency issues of the domestic Clusterix-New DBMS

This article supplements the previously published review on Clusterix-like DBMSs developed at KNRTU-KAI with a number of points important for practice, which may be of interest to specialists and potential customers. This is a conservative type DBMS with occasional updating of analytically processed data. The additional research on Clusterix-New is aimed at: 1) identify the maximum achievable acceleration $\delta v$ of its operation with the growth of the database size $V_{\text{DB}}$ and the number of working nodes $h$ of the cluster platform. 2) Determine the appropriate choice of $h$ for a given $V_{\text{DB}}$ from the condition of obtaining acceptable efficiency eff = $\delta v/h$. 3) Determine ways to improve the performance of Clusterix-New with the move to the Big Data class. 4) Compare its latest version with Apache Spark 3.5, which has a high DBMS rating. 5) Distantiate it with PerformSys, another original DBMS focused on batch query processing.