Stream Analytics
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 over data from devices and applications
- Correlate across multiple streams of data
- Use familiar SQL-based language for rapid development
- Explore Stream Analytics
- Pricing details
- Documentation
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.
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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.
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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.