Case Study: Hexagon scales geospatial data and speeds delivery with Qumulo Cloud Data Platform

Hexagon maps 1 billion images per month with Qumulo

Hexagon, a global leader in digital reality solutions, faced a challenge with scaling and performance for its massive geospatial data library. They required a storage solution with limitless scale that could integrate into their existing pipeline and offer lower cost and higher performance. Hexagon partnered with Qumulo, implementing its Cloud Data Platform (CNQ on AWS) to address these data management issues.

The solution from Qumulo streamlined Hexagon's workflows and decreased field-to-product time. It enabled them to scale their storage to support one billion images streamed per month and manage abundant, high-resolution data points. The measurable impact included optimized revenue for Hexagon through an OPEX model and cost savings for their customers, all while handling five petabytes of mission-critical data.

Hexagon