This book introduces a novel approach to solve the problem of selecting the most appropriate analytic platform automatically for executing the needed data mining algorithm. The selection process depends on a hypothesis which is executing a data mining algorithm on similar datasets, using the same analytic platform, yields comparable performance. Depending on a previously conducted benchmark, the selection process compares the performance of different analytic platforms and selects the one with the best performance according to a user-defined criterion, e.g., runtime of the data mining algorithm.