Stream Analytics

Real-time stream processing in the cloud

Gain real-time insights

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.

Enable rapid development

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.

Perform real-time analytics

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.

Achieve mission-critical reliability and scale

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.

Related products and services

Event Hubs

Receive telemetry from millions of devices

Machine Learning

Easily build, deploy and manage predictive analytics solutions


Provision cloud Hadoop, Spark, R Server, HBase, and Storm clusters

Try Stream Analytics for free