Stream Analytics pricing

A real-time stream processing service in the cloud

Azure Stream Analytics is an event-processing engine in the cloud that uncovers insights from data generated by devices, sensors, cloud infrastructure services and applications in real-time. With out-of-the-box integration for Azure IoT Hub and Azure Event Hubs, Azure Stream Analytics can simultaneously ingest and process millions of events per second and can deliver actionable insights or alerts with ultra-low latencies, power rich visual dashboards and kick off actions to other services.

Pricing details

Azure Stream Analytics is priced by the number of streaming units required to process the data into the service.

Standard Streaming Unit

Usage Price
Streaming Unit $-/hour

Azure Stream Analytics on IoT EdgePreview

Azure Stream Analytics on IoT Edge enables customers to run their stream processing jobs on devices with Azure IoT Edge. Customers can create their stream processing jobs in Azure Stream Analytics and deploy them to devices running Azure IoT Edge through Azure IoT Hub.

Azure Stream Analytics on IoT Edge extends all the benefits of ASA’s unique streaming technology from the cloud down to devices. It enables customers to run Complex Event Processing (CEP) closer to IoT devices and run analytics on multiple streams of data on devices or gateways.

The pricing below reflects preview pricing discount and will be applicable after 1 March 2018. Until then Azure Stream Analytics on IoT Edge can be used for free.

Price per job $0 until 1 March, 2018
$- per job/device/month after 1 March, 2018

If you want to run Azure Stream Analytics on Edge on more than 50 devices please contact Microsoft.

Support & SLA

  • We provide technical support for all Azure services released to General Availability, including Stream Analytics, through Azure Support, starting at $29/month. Billing and subscription management support is provided for free.
  • SLA: We guarantee at least 99.9% availability of the Stream Analytics API. We guarantee that 99.9% of the time, deployed Stream Analytics jobs will be either processing data or available to process data. To learn more about the SLA, please visit the SLA page.


  • A Standard Streaming Unit is a blend of compute, memory and throughput.

  • Streaming units can be selected through the Azure portal or Stream Analytics management APIs.

  • The primary factors that impact streaming units needed are query complexity, query latency and the volume of data processed. Streaming Units can be used to scale out a job in order to achieve higher throughput. Depending on the complexity of the query and the throughput required, more streaming units may be necessary to achieve your application’s performance requirements

  • Streaming units are billed hourly, based on the maximum number of units selected during this hour.

  • There is no limit on the number of stream units. While the default quota for streaming units per region for a single subscription is 48, you can request larger number of streaming units by filing a support ticket here.

  • Azure Event Hubs or Azure IoT Hub are recommended as scalable event brokers for your stream analytics solution. However, Stream Analytics also supports getting data from Azure Blobs.

  • Starting 1st February 2017, Azure Stream Analytics’ Standard Streaming Units offer richer capabilities like running custom code (written in JavaScript) and Geospatial functions, Visual Studio integration and removed ingress throttling limits. The older model is no longer available.

  • On 1st February 2017, existing streaming jobs will be migrated without any interruption to the standard streaming model. However, you will continue to pay the same price as you did prior to 1st February 2017 until 1st January 2018 or the expiration date of your current enterprise agreement. Contact us, if you have any questions.

  • ASA on IoT Edge is charged based on the number of devices the engine is running on and not on the number of sensors or total devices in your architecture. For example, if you have a 100 sensors and use a single gateway to run Stream Analytics on the IoT Edge, only a single device is counted for billing purposes.

  • ASA on IoT Edge is priced by the number of jobs which have been deployed on a device. For instance, if you have two devices and the first device has 1 job whereas the second device has 2 jobs, your monthly charge will be (1 job)*(1 device)*($-/job/device)+(2 jobs)*(1 device)*($-/job/device) = $-+$- = $- per month.

    All billing is prorated. For instance, if a job is deployed only for a partial month, the billing for that job is prorated.

    A job on ASA on edge device can use one CPU core. We do not limit the volume of data which can be processed by this job.

    If you want to run Azure Stream Analytics on Edge on more than 50 devices please contact Microsoft.

  • Creation, test and preparation of the job in Azure Stream Analytics portal is free. Deployment of the job and monitoring of your job will require the use of messages which will count towards your IoT Hub allowance. Deployment of a job with also requires the use of Azure blob storage.

    A customer can choose to update a job multiple times a month without incurring extra charges from the Stream Analytics service. Updates and deployment are provided using standard messaging capability via IoT Hub.


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