Satellite Imagery and GIS Data Grow With Every Pass. Here's the Storage Architecture Built for Geospatial Workloads.
Geospatial data organizations — satellite imagery companies, government mapping agencies, urban planning departments, environmental monitoring programs, and precision agriculture services — accumulate data at rates determined by the cadence of satellite passes and sensor collection cycles rather than by business activity. A commercial satellite constellation revisiting the same area daily generates imagery archives that grow regardless of whether anyone is actively using the data. Over years of operation, these archives reach petabyte scale and continue growing. The analytical value of satellite imagery increases with archive depth: change detection, time-series analysis, and trend monitoring all require access to historical imagery that may extend back years or decades. Storage infrastructure for geospatial workloads must accommodate both the continuous ingest of new data and the deep historical access that high-value geospatial analysis requires. Raw Imagery Ingest and Preprocessing...