Modern business applications process large amounts of persistent data. Thus, a key aspect influencing the speed of such applications is the query processing time. This time can be optimized in a variety of ways, ranging from classic - such as automatic query rewriting or the usage of a variety of indexing techniques, through the variety of cashing techniques, automated database tuning, etc. On the other hand, application maintenance costs are closely related to the quality of the application architecture. Together, both those aspects lead to the search for optimization techniques that integrate with different intermediate layers and the use of alternative data persistence solutions. The development of graphics processing units and their unique computing power-price ratio also suggests searching for the acceleration of data processing based on GPUs. In addition to universal optimization techniques it is also worth looking into the use of domain knowledge in optimization mechanisms. The proposed workshop is planned to review the research on this broader query optimization process.