Azure Stream Analytics

Real-time analytics on fast-moving streaming data.


Azure Stream Analytics is a fully managed stream processing engine that is designed to analyze and process large volumes of streaming data with sub-millisecond latencies. Patterns and relationships can be identified in data that originates from a variety of input sources including applications, devices, sensors, clickstreams, and social media feeds. These patterns can be used to trigger actions and initiate workflows such as creating alerts, feeding information to a reporting tool, or storing transformed data for later use. Stream Analytics is also available on the Azure IoT Edge runtime, enabling to process data directly on IoT devices.

Key Resources

Newsfeed: RSS


Date News
  Join in: The European Cloud  2024 | May 14-16, 2024 | European Cloud Summit What: European Cloud Summit and European Collaboration Summit  – co-located in 2024 Register today |Use...
The native support for Delta Lake output in Azure Stream Analytics is now generally available.
Use Streaming Ingestion to output data to Azure Data Explorer with Azure Stream Analytics
Load Testing Azure Event Hubs services with restricted public access   This article describes how to use Azure Load Testing to test a service based on Azure Event Hubs with a restricted public...
Enhancements and new features have been introduced to the Stream Analytics no-code editor, accessible through both the Azure Event Hubs portal and the Azure Stream Analytics portal. These updates...
Please note that Azure Spatial Anchors (ASA) will be retired on November 20, 2024.
You can connect directly to Kafka to ingest from Kafka clusters or output data to Kafka clusters in your Azure Stream Analytics (ASA) job.
You can ingest events in protobuf format into Azure Stream Analytics using a built-in deserializer.
Azure OpenAI Service is at the forefront of technological innovation, offering REST API access to OpenAI's suite of revolutionary language models, including GPT-4, GPT-35-Turbo, and the...
Stop by and check out these new capabilities at the Microsoft Booth in the SpringOne Conference in Las Vegas – August 21-24.   By -- Asir Selvasingh, Microsoft, and Adib Saikali, VMware...
Today we are excited to announce the general of Azure Spring Apps (ASA) landing zone accelerator. You can start deploying your spring applications to Azure Spring Apps at scale using the built...
The no-code editor is now available in Azure Stream Analytics portal to enable building your Stream Analytics jobs effortlessly, no coding required.
Generally available: Autoscale Stream Analytics jobs