Real-time stream processing in the cloud
- Perform real-time analytics for your Internet of Things solutions
- Stream millions of events per second
- Get mission-critical reliability and performance with predictable results
- Create real-time dashboards and alerts with data from devices and applications
- Correlate multiple streams of data
- Use familiar SQL-based language for quick development
Get real-time insights
Use Azure Stream Analytics to quickly develop and deploy low-cost solutions and get 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 getting insights from mobile phones, connected cars, and other devices.
Enable quick development
Reduce friction and complexity, and use fewer lines of code to develop your 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. You don’t 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. Use Stream Analytics to process your ingested events in real-time and compare multiple streams, or compare 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 and still achieve 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—get up and running in minutes. Stream Analytics processes your data at a high throughput with predictable results and no data loss.