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Azure Stream Analytics pros and cons

Vendor: Microsoft
3.9 out of 5
Badge Leader

Pros & Cons summary

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Prominent pros & cons

PROS

Azure Stream Analytics provides deep integration with other Azure resources and is highly valuable for IoT hub and Blob storage capabilities.
Real-time analytics is a key feature, allowing data to be sent to Power BI in real-time, and its ease of provisioning and non-complex interface are highlighted features.
Scalability is an essential aspect, making it suitable as a cloud product, and it enables ease of set-up and configuration.
Users appreciate its capability to leverage open-source technologies, utilize the latest streaming solutions, and develop efficiently.
Technical support is noted as strong and helpful, assisting users whenever needed.

CONS

Investigating issues is challenging, making it hard to identify causes and solutions.
Azure Stream Analytics experiences delays and errors when connecting to Power BI, impacting performance.
Handling of large data packets is inefficient, requiring improvements for better performance.
Initial setup is complex, posing difficulties for new users without prior experience.
Learning curve is steep due to the lack of flexibility and limitations in terms of writing queries.
 

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: July 2025.
864,053 professionals have used our research since 2012.
Sarath Boppudi - PeerSpot reviewer
May 30, 2025
The best features of Azure Stream Analytics are that it's easy to set up and configure.
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.
 

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: July 2025.
864,053 professionals have used our research since 2012.
Sarath Boppudi - PeerSpot reviewer
May 30, 2025
There were challenges with Azure Stream Analytics. When I initially started, the learning curve was difficult because I didn't have knowledge of the service.
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.