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Azure Stream Analytics pros and cons

Vendor: Microsoft
4.0 out of 5
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Pros & Cons summary

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Prominent pros & cons

PROS

Azure Stream Analytics provides deep integration with other Azure resources, including IoT hub and Blob storage.
Real-time analytics and the ability to send collected data to Power BI in real time are valuable features of Azure Stream Analytics.
Azure Stream Analytics excels in scalability, making it suitable for varying company needs.
Ease of provisioning and minimal complexity in pipeline management are notable benefits of Azure Stream Analytics.
Azure Stream Analytics leverages open-source technologies, allowing users to utilize the latest streaming solutions effortlessly.

CONS

Investigating issues in Azure Stream Analytics can be challenging, particularly identifying the cause and reason for failures.
There are occasional delays and errors when connecting Azure Stream Analytics with Microsoft Power BI, affecting data flow.
Azure Stream Analytics requires development skills, and lacks flexibility, making data customization and editing difficult.
Handling large data packets in Azure Stream Analytics is inefficient, leading to performance bottlenecks.
The setup process for Azure Stream Analytics is complex, requiring improvements for easier scalability and job monitoring.
 

Azure Stream Analytics Pros review quotes

SK
Jan 29, 2021
I like the IoT part. We have mostly used Azure Stream Analytics services for it
reviewer1678695 - PeerSpot reviewer
Sep 24, 2021
Technical support is pretty helpful.
AD
Sep 22, 2020
The most valuable features are the IoT hub and the Blob storage.
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
838,713 professionals have used our research since 2012.
SantiagoCordero - PeerSpot reviewer
Jan 28, 2025
It was easy for me to use from the beginning. I am accustomed to working with Microsoft.
reviewer1680336 - PeerSpot reviewer
Sep 29, 2021
I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service.
Deepanshu Thakur - PeerSpot reviewer
Mar 14, 2024
The solution's technical support is good.
BS
Jul 14, 2023
I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop.
Olubisi Akintunde - PeerSpot reviewer
Jun 15, 2022
The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.
AF
Sep 22, 2020
Provides deep integration with other Azure resources.
reviewer1517340 - PeerSpot reviewer
Mar 2, 2021
The solution has a lot of functionality that can be pushed out to companies.
 

Azure Stream Analytics Cons review quotes

SK
Jan 29, 2021
The collection and analysis of historical data could be better.
reviewer1678695 - PeerSpot reviewer
Sep 24, 2021
Early in the process, we had some issues with stability.
AD
Sep 22, 2020
There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting.
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
838,713 professionals have used our research since 2012.
SantiagoCordero - PeerSpot reviewer
Jan 28, 2025
There are too many products in the Azure landscape, which sometimes leads to overlap between them.
reviewer1680336 - PeerSpot reviewer
Sep 29, 2021
Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure.
Deepanshu Thakur - PeerSpot reviewer
Mar 14, 2024
The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required.
BS
Jul 14, 2023
One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure.
Olubisi Akintunde - PeerSpot reviewer
Jun 15, 2022
Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations.
AF
Sep 22, 2020
If something goes wrong, it's very hard to investigate what caused it and why.
reviewer1517340 - PeerSpot reviewer
Mar 2, 2021
The solution offers a free trial, however, it is too short.