Deep Learning Native Parallel Graph Databases offer data for deeper insights and better outcomes. Machine learning, even as it advances under the umbrella of deep learning, remains computationally demanding, and graph-based machine learning is no exception. With every new point of entity connection or level of connected data, the volume of data in every search enlarges exponentially. This then requires massively parallel computation to crisscross the data and better understand user search intent.