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10 Facts about Azure Stream Analytics

Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications (wiki).

10 Facts

  • Stream Analytics is an event processing engine, which can ingest & analyze in real-time.
  • ASA can stream data from devices, sensors, websites, social media feeds, applications, and more.
  • Stream Analytics don't mandatory to store data, analyse data in motion as well as stored.
  • Stream Analytics is built on a pull-based communication mode.
  • Stream Analytics supports two input types, stream data and reference data. It has two source types, Azure Event Hubs and Azure Blob storage.
  • Process starts with a source of streaming data that is ingested into Azure Event Hub or Azure Blob Storage. We can create a job that specifies the input source that streams data.
  • The job also specifies a transformation query which is  SQL-like query language that is used to filter, sort, aggregate, and join streaming.
  • After analyzing the incoming data, we can transform data to a monitored queue to trigger custom workflows downstream, Power BI dashboard for real-time visualization or other Azure storage services.
  • Stream Analytics can handle up to 1 GB of incoming data per second.
  • As a managed service, Stream Analytics helps prevent data loss and provides business continuity.


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