Real-time data is immediately passed along for analysis rather than collected and stored. Some such systems offer on-demand real-time analytics. In those cases, the platform does not send data until a person requests it. It’s immediately available once they do.  Other real-time data tools have continuous analytics capabilities. Then, the

The rise of Big Data, and the industry’s IoT craze, are driving huge demand for streaming data analytics. There’s an impediment though: streaming data is hard to work with. 2016 will heighten the demand, and also the tension around the difficulty. It may also force a solution. In the big-data