GeoSpark, which was accepted last week to the Apache Software Foundation with the new name “Apache Sedona,” is an extension of Apache Spark for processing large-scale spatial data. With Apache Sedona, developers can efficiently load, process, and analyze large-scale spatial data in distributed environments using Scala, Java, SQL, Python, and/or R. Sedona contains four modules: Core, SQL, visualization, and Zeppelin and supports complex geometries, fast spatial operations (joins, queries) and efficient spatial data structures (indexes and partitions).