The world is in constant evolution and in the last decade data have become the most valuable assets in economics and research, their use is essential for a company which wants to keep up with the times but, since everyday there are new methods to extract and analyze data their mole is getting bigger and bigger and the old frameworks are beginning to be obsolete in terms of times of execution. The goal of this work is to check the state of the art regarding the use of the GPU in a data pipeline, the focus is on the ETL part of the framework because the exploitation of these machines for the Machine Learning part has already been taken on the next level while the preprocessing phase is still mainly done using CPUs.