Azure Stream Analytics
Get 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 the no-code editor or SQL—which is 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 service-level agreement (SLA).
End-to-end analytics pipeline that is production-ready in minutes with the no-code editor or 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 the no-code editor or 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, real-time alerting, geospatial analytics predictive maintenance, and clickstream analytics with one-click integration across more than 15 sources and sinks.
Boost your productivity with well-integrated development tools
Develop your Stream Analytics project with user-friendly Azure Stream Analytics tools on your favorite IDEs. Easily set up a continuous integration and continuous delivery (CI/CD) pipeline to achieve subsecond latencies on your most demanding workloads.
Build your streaming pipeline without writing any code
Easily develop a Stream Analytics job to process your real time data without writing a single line of code with Stream Analytics no-code editor.
Power real-time analytics with artificial intelligence
Take advantage of built-in machine learning models to shorten time to insights. Use machine learning-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 $1 billion annually on cybersecurity research and development.
-
We employ more than 3,500 security experts who are dedicated to data security and privacy.
-
Scale up rapidly and pay only for what you use
Benefit from a fully managed stream processing engine that allows you to scale up and down your workload. Take advantage of no-charge cluster management and pay only for compute and memory.
Get started with an Azure free account
1
2
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.
3
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
relayr optimizes elevator maintenance
relayr cut the time and cost of elevator maintenance through a remote monitoring solution with Azure Machine Learning and IoT.
Beverage company ABInBev transforms their business
ABInBev gained significant insights into business operations by breaking down data silos and building a global analytics platform using Azure Synapse Analytics, Azure Stream Analytics, and other Azure services.
Training resources for developers
Documentation
Explore tutorials, samples, and other documentation to learn how to use Azure Stream Analytics.
Stream Analytics documentation overview
Videos
See the scenarios enabled by Azure Stream Analytics with video deep dives and demos.
Watch a video on anomaly detection using machine learning
Learning modules
Expand your knowledge and earn certifications with hands-on online courses from Microsoft Learn.
Frequently asked questions about Azure Stream Analytics
-
-
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.
