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Azure Stream Analytics pricing

Real-time analytics on fast-moving streaming data

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, rich visual dashboards and kick off actions to other services.

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Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft and the currency exchange rate. Prices are calculated based on US dollars and converted using Thomson Reuters benchmark rates refreshed on the first day of each calendar month. Sign in to the Azure pricing calculator to see pricing based on your current programme/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing.

Azure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources. You can learn more about how many Streaming Units are required.

Standard streaming unit

Standard Dedicated
Resource Type Stream Analytics Job Stream Analytics Cluster
Streaming unit $-/hour with a 1 SU minimum $-/hour with a 36 SU minimum*
Virtual Network support No Yes
C# User-defined functions Limited to West Central US, North Europe, East US, West US, East US 2 and West Europe All regions
Custom deserialisers Limited to West Central US, North Europe, East US, West US, East US 2 and West Europe All regions
Availability Zone No Yes

*In the future, additional charges may apply for private endpoints created and related inbound and outbound charges. See Private Link Service pricing page for more details.

Azure Stream Analytics on IoT Edge

Azure Stream Analytics on IoT Edge enables you to run your stream processing jobs on devices with Azure IoT Edge. Create your 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 its unique streaming technology from the cloud down to devices. It enables you to run Complex Event Processing (CEP) closer to IoT devices and run analytics on multiple streams of data on devices or gateways.

Price per job $-/device/month

If you want to run Azure Stream Analytics on IoT Edge on more than 5,000 devices please contact Microsoft.

Note: Billing starts when an ASA job is deployed to devices, no matter what the job status is (running/failed/stopped).

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Additional resources

Azure Stream Analytics

Learn more about Azure Stream Analytics features and capabilities.

Pricing calculator

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  • 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 a default quota and if needed you can request a larger number of streaming units by filing a support ticket.

  • 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.

  • 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 were migrated without any interruption to the standard streaming model. Contact us, if you have any questions.

  • Azure Stream Analytics 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 100 sensors and use a single gateway to run Stream Analytics on IoT Edge, only a single device is counted for billing purposes.

  • Azure Stream Analytics on IoT Edge Preview is priced by the number of jobs that have been deployed on a device. For instance, if you have two devices and the first device has one job whereas the second device has two 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 Azure Stream Analytics on an IoT Edge device can use one CPU core. We do not limit the volume of data that can be processed by this job.

    If you want to run Azure Stream Analytics on IoT 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.

    You 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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