Azure Stream Analytics Primary Use Case

Sudhendra Umarji - PeerSpot reviewer
Technical Architect at Infosys

It's used primarily for data and mining - everything from the telemetry data side of things.

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JeffryChia - PeerSpot reviewer
Manager | Advisory PI | Data & Analytics at a consultancy with 10,001+ employees

The product is used just for the extraction, transforming, and loading of the data to the data warehouse.

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AF
Senior Cloud Solution Architect Advanced Analytics & A.I. at Banco de Credito

We use the solution for real-time data and machine learning features.

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Buyer's Guide
Azure Stream Analytics
March 2024
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,234 professionals have used our research since 2012.
BS
CCoE at Slk softwares

We use Azure Stream Analytics to process online event streaming data. It's a versatile solution that can handle various types of streaming data, including deployed streaming data. 

It also supports JSON format and enables us to analyze IoT data from different organizations within the group.

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SS
Sr Manager at a transportation company with 10,001+ employees

We use it to stream data from IT devices and process it.

We use almost all Azure services, right from Azure AD, Event Hub, Cosmos DB, Azure Stream Analytics, Azure monitoring services, Azure ML Studio, and everything. 

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SR
Associate Principal Analyst at a computer software company with 10,001+ employees

We were doing some level of stream data processing, so we had some use cases which were related to IoT. We had some IoT devices getting data in from other IoT devices and Azure Streaming Analytics has a special streaming analytics offering for IoT devices. Basically it was used for that. 

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Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees

We use this solution to access vulnerabilities and realtime issues that we have in Windows and Linux and for diagnostic analyzation we wanted to do for our middleware product. We have multiple data ingestion types. 

Our team also analyze the data using data visualization tools like Power BI and Tableau. Our main task is to get diagnostic metrics from the products that we are using. Based on the metrics, we send an alert if any product has run out of space. For audit purposes, we create dashboards for management and compliance.

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RD
Senior IT Product Manager at a manufacturing company with 10,001+ employees

We have a lot of Internet-of-Things stream data from various machines and IoT edge devices. We stream the data and use it for future data analytics, like machine learning or predictive analytics, so we need some dashboarding done on a Power BI report. And to do that, we have to process this vast telemetry stream data, and that's why we use Azure Stream Analytics.

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Deepanshu Thakur - PeerSpot reviewer
Co-Founder at Mandelbulb Technologies

I use the solution in my company for real-time analytics on IoT data.

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Avik-Sadhu - PeerSpot reviewer
Cloud Enterprise Architect at a tech services company with 10,001+ employees

We mainly use this product for real-time data injection and reporting purposes.

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AD
RPA DevOps Engineer at SG Analytics

We have different kinds of IoT devices placed in different countries including the UK, US, and others. They are configured with our IoT hub and we get the logs from them accordingly.  We have these logs connected with the Stream Analytics suites and Microsoft Power BI. Whatever updates and other activity is happening on the devices are streamed into Azure and Power BI so that we can see them.

If we find any error messages then we have to check the health of the corresponding IoT devices, databases, and configuration.

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Olubisi Akintunde - PeerSpot reviewer
Team Lead at a tech services company with 1,001-5,000 employees

We are using Azure Stream Analytics for small to medium size streaming datasets where you would like to flag patterns from the stream. It works well or pairs well with IoT edge scenario use cases that are on Azure. If you have exceptional conditions, such as a sensor being way off the average for the last one to five hours, then you can flag a scenario. It works well with the IoT infrastructure that Azure provides.

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MA
Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees

This solution is connected with our Microsoft license. We use the E3 license, which also includes the software and analytics. We bought it and we are trying to get the best we can from the software. For now, we have some analytics, what's happening, and one of our guys looks at it and prepares reports or maybe requests some additional interventions.

It is mostly for analysis so that when something happens we can analyze it and do something about it.

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Lalani Samir - PeerSpot reviewer
Senior Xamarin Developer at Ezyhaul

Our primary use case involves using the app centre to retrieve lifeline data. However, the lifeline is not retrievable from the app centre due to recent changes, so we get it from Azure.

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ChibuzorObilom - PeerSpot reviewer
Senior Software Quality Assurance Analyst at M-KOPA

We use the solution to analyze application logs. It helps review incidents and production issues.

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YA
Collaboration Consultant at a tech services company with 201-500 employees

I used it once for a project demo to a customer for an IoT solution. In this demo, the data was collected from the sensors, and it was sent to Power BI reports. The collected data was analyzed by using the analytics tools to get some insights.

This project was the first project for our company to start the development of IoT solutions. We have only used it for a demo, and we have kept it for demo for other customers. If any customer wants to deploy it, we would use it in production.

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SK
Consultant

The company I'm working for is basically one of the biggest companies in the entire Gulf region, including Dubai, Qatar, and Oman. Our core domain is providing logistics. They have different warehouses across the country, and we use it to track the movement of forklifts and people working at the warehouses. 

The main thing we are focusing on right now is accident avoidance. For example, one forklift is coming through one aisle, and another person is trying to enter the same aisle. We provide a solution that can track the person and forklift in real-time. 

We're also using it to solve many business problems one by one. Stream Analytics plays a major role in streaming all these huge datasets because we have warehouses spread across the country. It's able to handle millions and millions of events in a few seconds.

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AF
BI Developer at a tech services company with 51-200 employees

Our primary use case is mainly to ingest real time data streams into permanent storage places like databases, block storage, etc.

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Buyer's Guide
Azure Stream Analytics
March 2024
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,234 professionals have used our research since 2012.