Microsoft is a pacesetter in The Forrester Wave™: Streaming Analytics, Q3 2019

Processing Massive knowledge in real-time is an operational necessity for a lot of companies. Azure Stream Analytics is Microsoft’s serverless real-time analytics providing for complicated occasion processing.

We’re excited and humbled to announce that Microsoft has been named a pacesetter in The Forrester Wave™: Streaming Analytics, Q3 2019. Microsoft believes this report really displays the market momentum of Azure Stream Analytics, glad prospects, a rising associate ecosystem and the general energy of our Azure cloud platform. You possibly can entry the complete report right here.

Forrester Wave for Streaming Analytics published in Q3 2019 that positions Microsoft as a leader in the category.


The Forrester Wave™: Streaming Analytics, Q3 2019


Forrester Wave™: Streaming Analytics, Q3 2019 report evaluated streaming analytics choices from 11 totally different resolution suppliers and we’re honored to share that that Forrester has acknowledged Microsoft as a Chief on this class. Azure Stream Analytics obtained the very best doable rating in 12 totally different classes together with Means to execute, Administration, Deployment, Answer Roadmap, Buyer adoption and lots of extra.

The report states, “Microsoft Azure Stream Analytics has strengths in scalability, excessive availability, deployment, and purposes. Azure Stream Analytics is a simple on-ramp for builders who already know SQL. Zero-code integration with over 15 different Azure providers makes it straightforward to attempt to subsequently undertake, making the product the real-time spine for enterprises needing real-time streaming purposes on the Azure cloud. Moreover, by integration with IoT Hub and Azure Features, it gives seamless interoperability with 1000’s of units and enterprise purposes.”

Key Differentiators for Azure Stream Analytics

Totally built-in with Azure ecosystem: Construct highly effective pipelines with few clicks

Whether or not you will have tens of millions of IoT units streaming knowledge to Azure IoT Hub or have apps sending important telemetry occasions to Azure Occasion Hubs, it solely takes a number of clicks to attach a number of sources and sinks to create an end-to-end pipeline.

Developer productiveness

One of many largest benefits of Stream Analytics is the easy SQL-based question language with its highly effective temporal constraints to investigate knowledge in movement. Familiarity with SQL language is sufficient to writer highly effective queries. Moreover, Azure Stream Analytics helps language extensibility through C# and JavaScript user-defined capabilities (UDFs) or user-defined aggregates to carry out complicated calculations as a part of a Stream Analytics question.

Analytics prowess

Stream Analytics comprises a wide selection of analytic capabilities corresponding to native help for geospatial capabilities, built-in callouts to customized machine studying (ML) fashions for real-time scoring, built-in ML fashions for Anomaly Detection, Sample matching, and extra to assist builders simply deal with complicated situations whereas staying in a well-recognized context.

Clever edge

Azure Stream Analytics helps convey real-time insights and analytics capabilities nearer to the place your knowledge originates. Clients can simply allow new situations with true hybrid architectures for stream processing and run the identical question within the cloud or on the IoT edge.

Finest-in-class financially backed SLA by the minute

We perceive it’s important for companies to stop knowledge loss and have enterprise continuity. Stream Analytics ensures occasion processing with a 99.9 % availability service-level settlement (SLA) on the minute stage, which is unparalleled within the trade.

Scale immediately

Stream Analytics is a completely managed serverless (PaaS) providing on Azure. There is no such thing as a infrastructure to fret about, and no servers, digital machines, or clusters to handle. We do all of the heavy lifting for you within the background. You possibly can immediately scale up or scale-out the processing energy from one to a whole bunch of streaming items for any job.

Mission important

Stream Analytics ensures “precisely as soon as” occasion processing and at the least as soon as supply of occasions. It has built-in restoration capabilities in case the supply of an occasion fails. So, you by no means have to fret about your occasions getting dropped.

Attempt it immediately

There’s a robust and rising developer group that helps Stream Analytics. Learn to get began and construct a real-time fraud detection system.

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