For many use cases such as fraud detection or reacting on sensor data the response times of traditional batch processing are simply to slow. In order to be able to react to such events close to real-time, we need to go beyond the classical batch processing and utilize stream processing systems such as Apache Spark Streaming, Apache Flink, or Apache Storm. But these systems are not sufficient by itself. One common example for such fast data pipelines is the SMACK stack using Apache Spark, Mesos, Kafka, Akka, Cassandra, Kafka