OpenStreetMap

GraphHopper Distance Matrix: API & OSM Hosting Guide Answer-first: Self-hosting GraphHopper for distance matrix calculations leverages OpenStreetMap (OSM) PBF data, memory-mapped graph caches, and Java Contraction Hierarchies (CH) to compute 100x100 matrix queries in under 50ms at zero API cost (99.7% cost savings over Google Maps API). Pairing GraphHopper with H3 hexagonal spatial indexing and Redis semantic caching offloads 85%+ of repetitive route calculations in high-scale logistics and fleet dispatch systems. ...

Self-Hosting GraphHopper on Kubernetes with OSM Data Answer-first: Self-hosting GraphHopper routing engines on Kubernetes uses initContainers for S3 graph cache hydration, JVM heap tuning, and HPA auto-scaling to process heavy routing traffic. Sizing pods with 4GB off-heap memory and 1GB JVM heap for country-level OpenStreetMap data achieves sub-50ms routing queries while cutting commercial map API costs by over 95%. GraphHopper is arguably the most capable open-source routing engine available — it supports Contraction Hierarchies (CH) for sub-millisecond route queries, custom vehicle profiles, turn restrictions, and the full OpenStreetMap road network. The problem most teams encounter is not the algorithm; it is the operational challenge of running it in Kubernetes: loading a large OSM PBF file, sizing JVM memory correctly, handling the long CH pre-processing startup time, and updating map data without downtime. ...