Azure Stream Analytics lets you rapidly develop and deploy low-cost solutions to gain real-time insights from devices, sensors, infrastructure, and applications. Use it for Internet of Things (IoT) scenarios, such as real-time remote management and monitoring or gaining insights from devices like mobile phones and connected cars.
Reduce friction and complexity and use fewer lines of code when developing analytic functions for scale-out distributed systems. Describe the desired transformation with SQL-based syntax, and Stream Analytics automatically distributes it for scale, performance, and resiliency. No need to manage complex infrastructure and software.
Stream Analytics is integrated out-of-the-box with Azure Event Hubs to ingest millions of events per second. Stream Analytics processes ingested events in real-time, comparing multiple streams or comparing streams with historical values and models. It detects anomalies, transforms incoming data, triggers an alert when a specific error or condition appears in the stream, and displays this real-time data in your dashboard.
Scale to any volume of data while still achieving high throughput, low-latency, and guaranteed resiliency. Get all of this without incurring hardware or other up-front costs and without time-consuming installation or setup. Azure does it all for you. Get up and running in minutes. Stream Analytics processes data at a high throughput with predictable results and no data loss.