Apache Spark is an open-source distributed general-purpose cluster-computing framework with implicit data parallelism. OpenStreetMap is a huge database of features, found on Earth surface. Working with that database is hard, so Spark is a natural solution to solve OSM size-caused processing issues. I'm going to show how to load OSM data to Spark, run processing algorithms like extract/merge or render and how using Spark improves development process and cuts processing times greatly.