Democratization of OLAP DSMS.

The expansion of IoT devices and monitoring needs, powered by the capabilities and accessibility of Cloud Computing, has led to an explosion of streaming data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP) DSMS. The discussion is focused on three current solutions: Scuba, Apache Druid, and Apache Pinot in use in large production environments that satisfy the real-time OLAP on streaming data. Finally, a discussion is presented on a potential evolution of OLAP DSMS and open problems.