The current state of the art involves executing data pre-processing, augmentation, and a wide variety of custom ETL workflows on individual client machines. This approach lacks scalability and often results in significant performance degradation due to unnecessary data movement. Unlike most open-source and cloud ETL solutions, AIStore performs transformations on the same machines that store your data, minimizing redundant transfers by exploiting data locality.
