Spatial data analysis is computationally intensive. Most solutions grind to a crawl at a few million points.
But recent advances in parallel computing create opportunities to challenge these computational constraints. Kinetica's vectorized spatial function library can perform computations on the fly on massive amounts of spatial data.
Matthew Brown shows us some of these capabilities using Kinetica Workbench in this demo.