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.
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.
Learn how to deploy an Azure Stream Analytics job with CI-CD
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.
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.
Learn more about built-in machine learning for streaming jobs
Build a secure streaming solution with enhanced security and compliance from Azure
- In-memory processing, with encrypted checkpointing
- Encryption of all incoming and outgoing communications
- Meets international and industry-specific security and compliance standards, including HIPAA, HITRUST, CSA STAR, and ISO/SOC requirements
- Get guaranteed 99.9% SLA with Stream Analytics Dedicated. Our single tenant offering provides all the features of Standard ASA, in addition to VNET support using private endpoints.
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
Training resources for developers
Documentation
Explore tutorials, samples, and other documentation to learn how to use Azure Stream Analytics.
Videos
See the scenarios enabled by Azure Stream Analytics with video deep dives and demos.
Learning modules
Expand your knowledge and earn certifications with hands-on online courses from Microsoft Learn.
Browse training at Microsoft LearnStart delivering solutions in days, instead of weeks or months
Create your Azure free account and get started with 12 months of free services.
Start quickly with a few clicks and create a Stream Analytics job using the Azure portal.
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
Global energy company optimizes operations and drives real-time insights
ExxonMobil overcomes the challenges of monitoring and optimizing a vast number of widely dispersed field assets with Azure analytics solutions.
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.
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.
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.
Frequently asked questions about Azure Stream Analytics
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Azure Stream Analytics is available in 24 regions worldwide.
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We guarantee at least 99.9 percent availability for the Stream Analytics API.
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A standard streaming unit is a blend of compute and memory.
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Streaming units are billed hourly, based on the maximum number of units selected during the hour.
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