Apache Kafka has come the modern central point for a fast and scalable streaming platform. Now, thanks to the open source explosion over the last decade, there are now numerous data stores available as sinks for Kafka-brokered data, from search to document stores, columnular DBs, time series DBs and more. While many claim they are the swiss army knife, in reality each is designed for specific types of data and analytics approaches. In this talk, we will cover the taxonomy of various data sinks, delve into each categories pros, cons and ideal use cases, so you can select the right ones and tie them together with Kafka into a well-considered architecture.