Apache Kafka is the de-facto standard for event streaming and creating data pipelines that can feed a variety of different tools. It is very common for the data to have geospatial characteristics but to date there has been relatively little work done around how to leverage this natively in Kafka. The common approach is to just dump all the data into some geospatial store or toolset and do retrospective analysis and queries. This of course loses all the advantages of handling it in realtime before it ever goes to an external tool. In this talk I will discuss the creation and demonstrate the usage of geospatial UDFs in ksqlDB. I will also talk through the advantages of doing geospatial processing directly in Apache Kafka.