Real-Time Vehicle Tracking With Neo4j, Databricks Lakebase, and OpenStreetMap
Most vehicle tracking systems ask one database to do everything. For example, store the road network, query it with recursive CTEs, write live positions to the same database, run analytics on the same tables, and so on. It works until the graph queries slow down, high-frequency writes start competing with reads, and analytics queries time out. This article shows a different approach: three databases, each doing what it's genuinely good at. Neo4j Aura for the road network graph, Databricks Lakeba

