The Power Of Real-Time Analytics - Microsoft Named A Leader In The Forrester Wave For Streaming Analytics

The Power Of Real-Time Analytics - Microsoft Named A Leader In The Forrester Wave For Streaming Analytics

By Sonia Johnson on Mar 10, 2020

Microsoft Named A Leader In The Forrester Wave For Streaming Analytics

Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing. Successful enterprises must learn from the past, act in the present, and prepare for the future. Descriptive analytics is used to analyse the past, streaming analytics analyses the present and predictive analytics analyses the future. Unfortunately, most enterprise business insights teams focus primarily on analysing the past according to Forrester through dashboards that they slice and dice to rationalise often failed business strategies.

Many leading enterprises realise that real-time analytics — the analytics of the present — is an incredible competitive advantage because they can act now to better serve customers, fix operational problems, power internet-of-things (IoT) apps, and respond decisively to competitors. That's what streaming analytics delivers.

The Forrester Wave™: Streaming Analytics, Q3 2019 report was recently released whereby Microsoft was named a Leader in streaming analytics in the report, reflecting the strength of the Azure cloud platform. You can download a copy of the report here. 

Forrester Wave™: Streaming Analytics, Q3 2019 report evaluated streaming analytics offerings from 11 different solution providers.  Microsoft Azure Stream Analytics received the highest possible score in 12 different categories including Ability to execute, Administration, Deployment, Solution Roadmap, Customer adoption and many more.

The report states, “Microsoft Azure Stream Analytics has strengths in scalability, high availability, deployment, and applications. Azure Stream Analytics is an easy on-ramp for developers who already know SQL. Zero-code integration with over 15 other Azure services makes it easy to try and therefore adopt, making the product the real-time backbone for enterprises needing real-time streaming applications on the Azure cloud. Additionally, through integration with IoT Hub and Azure Functions, it offers seamless interoperability with thousands of devices and business applications.”

What Makes Azure Stream Analytics Different?

Fully integrated with Azure ecosystem

Whether you have millions of IoT devices streaming data to Azure IoT Hub or have apps sending critical telemetry events to Azure Event Hubs, it only takes a few clicks to connect multiple sources and sinks to create an end-to-end pipeline.

Developer productivity

One of the biggest advantages of Stream Analytics is the simple SQL-based query language with its powerful temporal constraints to analyze data in motion. Familiarity with SQL language is enough to author powerful queries. Additionally, Azure Stream Analytics supports language extensibility via C# and JavaScript user-defined functions (UDFs) or user-defined aggregates to perform complex calculations as part of a Stream Analytics query.

Analytics prowess

Stream Analytics contains a wide array of analytic capabilities such as native support for geospatial functions, built-in callouts to custom machine learning (ML) models for real-time scoring, built-in ML models for Anomaly Detection, Pattern matching, and more to help developers easily tackle complex scenarios while staying in a familiar context.

Intelligent edge

Azure Stream Analytics helps bring real-time insights and analytics capabilities closer to where your data originates. Customers can easily enable new scenarios with true hybrid architectures for stream processing and run the same query in the cloud or on the IoT edge.

Best-in-class financially backed SLA by the minute

It's critical for businesses to prevent data loss and have business continuity. Stream Analytics guarantees event processing with a 99.9 percent availability service-level agreement (SLA) at the minute level, which is unparalleled in the industry.

Scale instantly

Stream Analytics is a fully managed serverless (PaaS) offering on Azure. There is no infrastructure to worry about, and no servers, virtual machines, or clusters to manage. Microsoft does all the heavy lifting for you in the background. You can instantly scale up or scale-out the processing power from one to hundreds of streaming units for any job.

Mission critical

Stream Analytics guarantees “exactly once” event processing and at least once delivery of events. It has built-in recovery capabilities in case the delivery of an event fails. So, you never have to worry about your events getting dropped.

If you'd like to learn how to get started with Stream Analytics or the Microsoft Data & Analytics platforms in general, give our Inside Info consultants a call. 

Download Forrester Report

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Written by

Sonia Johnson

Sonia Johnson heads Inside Info's Marketing team, as an experienced B2B marketer, having launched and built the Qlik brand in the Australian market. Sonia has 20 years' experience working within the IT and telco industries, having worked for IBM and Vodafone, the last ten years have been focused within the business intelligence and corporate performance management sectors.

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