Geospatial data has become a core input for modern analytics across logistics, climate science, urban planning, mobility, and location intelligence. Yet for a long time, spatial data lived outside the mainstream analytics ecosystem. In primarily non-spatial data engineering workflows, spatial data was common but required workarounds to handle efficiently at scale.