As we speak, we’re saying that Microsoft has been named a Chief in The Forrester Wave™: Streaming Analytics, Q2 2021. We consider this report actually displays the market momentum of Azure Stream Analytics, glad clients, a rising accomplice ecosystem, and the general power of our Azure cloud platform. Check out the Forrester Wave™: Streaming Analytics, Q2 2021 report.
The Forrester Wave™: Streaming Analytics, Q2 2021 report evaluated streaming analytics choices from 14 completely different resolution suppliers, and we’re honored to share that Forrester has acknowledged Microsoft as a Chief on this class. Azure Stream Analytics obtained the very best rating in twelve completely different classes together with efficiency, means to execute, resolution roadmap, buyer adoption, and extra.
The report states, “Microsoft makes world-class streaming analytics simple to make use of on cloud and edge. Azure Streaming Analytics lets builders use SQL to outline a wealthy set of streaming analytics queries. Behind the scenes of those streaming analytics queries, the Azure Streaming Analytics service optimizes the underlying assets to maximise throughput and latency. Notable and distinctive for a cloud service supplier is that streaming analytics queries can run on each the cloud and the sting utilizing Azure IoT Edge. Azure Streaming Analytics’ candy spot is for enterprises that want a cloud-scale streaming analytics functionality and or a mix of cloud-scale streaming analytics and edge streaming analytics.”
Our key differentiators for streaming analytics
Finest in school integration
Azure Stream Analytics is seamlessly built-in with the remainder of the Azure Ecosystem: in few clicks, you’ll be able to construct highly effective pipelines processing information from IoT Hub, or Occasion Hub (together with Occasion Hubs from Apache Kafka purposes) and generate real-time perception for dynamic dashboarding, real-time purposes, giant scale analytics, or long-term storage. Examples of outputs embrace Azure SQL Databases, Azure Cosmos DB, Azure Synapse Analytics, Energy BI, and extra. Moreover, by leveraging Logic Apps wealthy set of connectors, customers also can join their streaming pipelines to a whole lot of third-party apps.
Ease of use
One of many benefits of Azure Stream Analytics is its easy SQL question language with highly effective temporal constraints to research information in movement. Familiarity with SQL language is sufficient to creator highly effective queries.
As a part of our dedication to simplify the end-to-end analytics journey, we’re working to additional combine our distinctive low-latency streaming know-how into Azure Synapse Analytics.
Moreover, we at the moment are providing a no-code expertise for streaming analytics with Energy BI Streaming dataflows, enabling organizations to simply create end-to-end pipelines and productize them for real-time dashboards.
Mission-critical prepared
Azure Stream Analytics is designed for mission-critical eventualities. With the assure of no information loss, exactly-once processing, and repeatability—it’s used for a few of the most vital streaming pipelines inside Microsoft and is used to run crucial workloads for hundreds of shoppers.
The design of Azure Stream Analytics allows organizations to immediately scale out the processing energy from one to a whole lot of streaming models for any job to get further processing energy when wanted.
With 99.9 p.c availability assured on the minute stage, Azure Stream Analytics gives industry-leading service-level settlement (SLA) traits.
As a part of our dedication to safety, Azure Stream Analytics offers enhanced safety on your information, supporting VNET, encryption of personal belongings with Buyer Managed Keys. Moreover, with connections to different assets with Managed Identities, we offer excessive safety whereas eradicating the necessity to outline and rotate connection strings, simplifying platform upkeep.
Superior analytics
With its highly effective SQL language, Azure Stream Analytics offers a big selection of analytic capabilities comparable to native help for geospatial capabilities, integration with machine studying for real-time scoring, built-in machine studying fashions for Anomaly Detection, sample matching, and extra to assist builders shortly construct low-latency streaming analytics.
Edge-to-cloud
As latency and bandwidth are sometimes key necessities of streaming analytics, we permit organizations to course of information as shut as doable to the place it’s generated. To help this situation, our product is on the market within the cloud worldwide for cloud-scale analytics (presently in 30 plus Azure areas, extra to come back), and also can run on IoT Edge or Azure Stack.
Attempt it at present
There’s a sturdy and rising developer neighborhood that helps Azure Stream Analytics. Learn to get began and construct your first streaming pipeline at no cost.
