Case Study: GeoPostcodes accelerates geospatial processing from 39 days to hours with Wherobots

Accelerating Vector and Raster Analysis at GeoPostcodes

GeoPostcodes, a provider of high-quality geospatial data, faced a significant challenge with its data update process. Their method for enriching administrative boundaries with population estimates from the Global Human Settlement grid was running on a headless QGIS and PostGIS setup, taking 39 days to complete. This delay was a major bottleneck for their operations, hindering their ability to deliver timely data to their customers in industries like logistics and market analysis.

By implementing the Wherobots distributed computing platform, GeoPostcodes radically accelerated its processing. Wherobots leveraged its cloud-native service, based on Apache Sedona, to perform spatial joins and aggregations in parallel. This solution reduced the processing time from over a month to just hours, achieving speed improvements of up to 135x for some countries and enabling faster iteration and data product delivery for the customer.

GeoPostcodes