This document summarizes the future of real-time analytics in Spark. It discusses how Spark Streaming currently works and outlines new capabilities in Spark 2.0 called Structured Streaming that allow for continuous queries on streaming data using the Spark SQL engine and DataFrame API. This makes streaming analytics simpler by allowing the same queries to run on both batch and streaming data. Structured Streaming will provide features like output modes, event-time processing, and integration with machine learning. It is aimed to unify batch, interactive, and streaming analytics in Spark.