Skip Navigation

Azure Stream Analytics

Serverless real-time analytics, from the cloud to the edge

Deliver powerful insights from your streaming data with ease, in real time

Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.


End-to-end analytics pipeline that is production-ready in minutes with familiar SQL syntax and extensible with JavaScript and C# custom code


Rapid scalability with elastic capacity to build robust streaming data pipelines and analyze millions of events at subsecond latencies


Hybrid architectures for stream processing with the ability to run the same queries in the cloud and on the edge


Enterprise-grade reliability with built-in recovery and built-in machine learning capabilities for advanced scenarios

Build streaming pipelines in minutes

Run complex analytics with no need to learn new processing frameworks or provision virtual machines (VMs) or clusters. Use familiar SQL language that is extensible with JavaScript and C# custom code for more advanced use cases. Easily enable scenarios like low-latency dashboarding, streaming ETL, and real-time alerting with one-click integration across sources and sinks.

Data monitoring app performance and usage such as active users, daily sessions per user, session duration and top devices.

Run mission-critical workloads with subsecond latencies

Get guaranteed, “exactly once” event processing with 99.9% availability and built-in recovery capabilities. Easily set up a continuous integration and continuous delivery (CI-CD) pipeline and achieve subsecond latencies on your most demanding workloads.

Deploy in the cloud and on the edge

Bring real-time insights and analytics capabilities closer to where your data originates. Enable new scenarios with true hybrid architectures for stream processing and run the same query in the cloud or on the edge.

Data monitoring app performance and usage such as active users, daily sessions per user, session duration and top devices.

Power real-time analytics with artificial intelligence

Take advantage of built-in machine learning (ML) models to shorten time to insights. Use ML-based capabilities to perform anomaly detection directly in your streaming jobs with Azure Stream Analytics.

Comprehensive security and compliance, built in

  • Microsoft invests more than USD 1 billion annually on cybersecurity research and development.

  • We employ more than 3,500 security experts who are dedicated to data security and privacy.

  • Azure has more certifications than any other cloud provider. View the comprehensive list.

  • Scale up rapidly and pay only for what you use

    • Pay only for the virtual machines and the associated storage and networking resources consumed
    • Take advantage of no-charge cluster management

Get started with an Azure free account


Start free. Get USD 200 credit to use within 30 days. While you have your credit, get free amounts of many of our most popular services, plus free amounts of 55+ other services that are always free.


After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.


After 12 months, you'll keep getting 55+ always-free services—and still pay only for what you use beyond your free monthly amounts.

Community and Azure support

Ask questions and get support from Microsoft engineers and Azure community experts on MSDN and Stack Overflow, or chat with an Azure support specialist.

Popular templates and labs

Discover self-paced labs and popular quickstart templates for common configurations made by Microsoft and the community.

See what companies are achieving with Azure Stream Analytics

World-famous brewers capture and process real-time data on a global scale

World-famous brewers capture and process real-time data on a global scale
Find out how Anheuser Busch InBev uses Azure data services including Azure Stream Analytics to optimize inventory, reduce out-of-stock scenarios, and better forecast future retailer consumption trends.
AB InBev

International airport improves transportation traffic with real-time dashboards and Power BI


Heathrow Airport uses Azure to pull data out of back-end business systems and push it to Power BI, giving employees insights into airport passenger traffic in real time.



Kohler brings kitchens and baths into the smart home revolution with Azure IoT


Discover how Kohler is able to cut its development cycle in half and significantly lower startup investment with Azure data services and infrastructure.



Gaming studio innovates in real time to deliver fun new features and engage their players


Fluffy Fairy Games uses Azure to process billions of events, launch new features quickly, analyze player feedback, and innovate to meet their users’ preferences.

Kolibri Games


Energy provider enhances storm recovery and customer service with real-time asset tracking


Learn how Southern Company uses Stream Analytics and IoT Hub to transform sensor data into actionable insights, relying on the elasticity and reliability of Azure for critical workloads.

Southern Company
Back to tabs

Training resources for developers


Explore tutorials, samples, and other documentation to learn how to use Azure Stream Analytics.

Stream Analytics documentation overview

Stream Analytics quickstart documentation

Stream Analytics query pattern documentation

Learning modules

Expand your knowledge and earn certifications with hands-on online courses from Microsoft Learn.

Browse training at Microsoft Learn

Frequently asked questions about Azure Stream Analytics

  • Azure Stream Analytics is available in 24 regions worldwide.

  • We guarantee at least 99.9 percent availability for the Stream Analytics API.

  • A standard streaming unit is a blend of compute and memory.

  • Streaming units are billed hourly, based on the maximum number of units selected during the hour.

Ready when you are—let's set up your Azure free account

Try Azure for free

Chat with sales