Real-time business insights
Stream Analytics is an event processing engine that helps uncover real-time insights from devices, sensors, infrastructure, applications and data. It will enable various opportunities including Internet of Things (IoT) scenarios such as real-time fleet management or gaining insights from devices like mobile phones or connected cars.
Stream millions of events per second
Stream Analytics provides out-of-the-box integration with Event Hubs to ingest millions of events per second. Together, Event Hubs and Stream Analytics let you process massive amounts of real-time data so you can make business decisions in real-time.
Real-time processing
Stream Analytics will process ingested events in real-time, comparing multiple real-time streams or comparing real-time streams together with historical values and models. This enables the detection of anomalies, transformation of incoming data, or the ability to trigger an alert when a specific error or condition appears in the stream.
Reliability, performance & predictable results
Scale to any volume of data while still achieving high throughput, low-latency, and guaranteed resiliency. Stream Analytics can process data at high throughput with predictable results and no data loss.
Up and running in minutes
Stream Analytics is a highly scalable, real-time event processing solution with no hardware or other up-front costs and no time-consuming installation or set-up. Azure does it all for you. You can be up and running in minutes.
Enables rapid development
Reduce friction and complexity when developing analytic functions for scale-out distributed systems. Developers simply describe their desired transformation with SQL-based syntax and the system will automatically distribute it for scale, performance, and resiliency.