Azure Stream Analytics

클라우드에서 실시간 스트림 처리

Easily develop and run massively parallel real-time analytics on multiple IoT or non-IoT streams of data using simple SQL like language. Use custom code for advanced scenarios. With no infrastructure to manage, you can process data on-demand, scale instantly, and only pay per job.

Start in seconds, scale instantly, pay per job

Get started in seconds because there is no infrastructure to worry about, and no servers, virtual machines, or clusters to manage. You can instantly scale-out the processing power from one to hundreds of streaming units for any job. You only pay for the processing used per job.

Develop massively parallel Complex Event Processing (CEP) pipelines with simplicity

Author powerful real-time analytics using very simple declarative SQL like language with embedded support for temporal logic. Extensive array of out-of-the-box connectors, advanced debugging and job monitoring capabilities help keep costs down by significantly lowering the developer skills required.

Support for custom code with JavaScript User Defined functions further extend the streaming logic written in SQL. Callouts to Azure Machine Learning helps with predictive scoring on streaming data.

Instantly analyze data from all your IoT devices and gateways

As more and more data is generated from a variety of connected devices and sensors, transforming this data into actionable insights and predictions in near real-time is now an operational necessity.

Azure Stream Analytics seamlessly integrates with Azure IoT Hub and Azure IoT Suite to enable powerful real-time analytics on data from your IoT devices and applications.

Additionally, Azure Stream Analytics on edge devices is available in private preview. To learn more and apply, click here.

Build real-time dashboards in minutes

Quickly build real-time dashboards with Power BI for a live command and control view. Real-time dashboards help transform live data into actionable and insightful visuals, and help you focus on what matters to you the most.

Enterprise grade availability, auditing and support

Guaranteed event delivery and an enterprise grade SLA that provides three 9s of availability makes Azure Stream Analytics suitable for mission critical workloads. Automated checkpoints enable fault tolerant operation with fast restarts with no data loss. Stream Analytics meets all major compliance regulations and is available in 19 Azure regions worldwide including China and Germany.

Customers using Azure Stream Analytics

관련 제품 및 서비스

Event Hubs

수백만 개의 장치에서 원격 분석 수신

Machine Learning

예측 분석 솔루션을 간단히 빌드, 배포 및 관리

IoT Hub

수십억 개의 IoT 자산 연결, 모니터링 및 제어

무료로 Stream Analytics를 이용해 보세요.