To my understanding it makes improvements in a few areas. The first being the tiered approach to where the data is stored. So for instance geospatial data may o

To my understanding it makes improvements in a few areas. The first being the tiered approach to where the data is stored. So for instance geospatial data may only store coordinates, and datetime info in the actual gpu memory. So you get massive speed ups on that. Then the next most interesting fields are in main memory, for a bit better performance. And than the rest, is on disk. I believe they also designed ways of indexing the data which perform better on GPUs with massive parallelization. And then the other major improvement is using the GPUs to render visualizations of the data you are trying to understand. That way what gets passed from the server could only be an image and not tens of millions of points of data.