Azure Stream Analytics

Real-time analytics on fast-moving streaming data.

Overview

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

Homepage: https://learn.microsoft.com/azure/stream-analytics/
Pricing: https://azure.microsoft.com/pricing/details/stream-analytics/
SLA: https://azure.microsoft.com/support/legal/sla/stream-analytics/
Newsfeed: RSS

News

Date News
12/2/2023
Please note that Azure Spatial Anchors (ASA) will be retired on November 20, 2024.
11/22/2023
You can connect directly to Kafka to ingest from Kafka clusters or output data to Kafka clusters in your Azure Stream Analytics (ASA) job.
11/22/2023
You can ingest events in protobuf format into Azure Stream Analytics using a built-in deserializer.
8/24/2023
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...
8/21/2023
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...
8/21/2023
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...
7/17/2023
The no-code editor is now available in Azure Stream Analytics portal to enable building your Stream Analytics jobs effortlessly, no coding required.
7/13/2023
Generally available: Autoscale Stream Analytics jobs
5/30/2023
Are you using GitHub for managing your Stream Analytics project and looking to leverage GitHub's powerful CI/CD pipeline? Follow this comprehensive guide and learn to set up a CI/CD pipeline with...
5/24/2023
Azure Stream Analytics supports for end-to-end exactly once semantics when writing to Azure Data Lake Storage Gen2.
5/24/2023
You can connect directly to Kafka to ingest from Kafka clusters or output data to Kafka clusters in your Azure Stream Analytics (ASA) job.
5/23/2023
Stream Analytics now supports end-to-end exactly once semantics when writing to Event Hub output.
5/23/2023
Azure Stream Analytics offers dynamic blob container name to give customers the flexibility to customize container names in Blob storage output.
5/23/2023
Azure Stream Analytics can now fetch schema from the Schema Registry and deserialize data from Event Hub inputs for Avro format.
4/13/2023
You can connect your Azure Stream Analytics job to Azure Data Explorer / Kusto clusters using managed private endpoints
4/13/2023
Use Stream Analytics to process exported data from Application Insights
4/12/2023
Why to consider synthetic data?   Without any doubt, machine learning (ML) is one of the most transformative technological areas these days. Affordable cloud-based compute, complex and more...
3/15/2023
Welcome back to another episode of Armchair Architects as part of the Azure Enablement Show. Today we will be discussing how do you get meaning from your data? Our hosts will be David...
2/23/2023
New features are now available in Stream Analytics no-code editor GA including Power BI output support, and data preview optimization. Power BI output feature enables you to build real-time...
1/26/2023
The team catches up with April Edwards to learn about the benefits of using Bicep to deploy Azure resources.   Media...