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Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
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What advice do you have for others considering Azure Stream Analytics?

If you were talking to someone whose organization is considering Azure Stream Analytics, what would you say?

How would you rate it and why? Any other tips or advice?

PeerSpot user
9 Answers
Lalani Samir - PeerSpot reviewer
Senior Xamarin Developer at Ezyhaul
Real User
Top 5
12 August 22

I rate this solution a six out of ten because we do not use it very often. I believe this solution has a good user interface but the solution could be improved by providing better graphics and including support for UI and UX testing.

Sudhendra Umarji - PeerSpot reviewer
Technical Architect at Infosys
Top 5
29 May 22

I'd rate the solution a seven out of ten.

Associate Principal Analyst at a computer software company with 10,001+ employees
Real User
Top 20
24 September 21

If you are in the Azure world completely, and you're using the Microsoft stack completely, and you do not have the need to go in any other cloud, then it makes sense to use this solution as it integrates very well within the Azure ecosystem. For IoT use cases, if you want to do real-time dashboarding with Power BI, it's great. Those kinds of things are where it has its niche. However, if you want a cloud-agnostic kind of solution, where you do not want to be stuck with just Microsoft, then there are other solutions out there such as Confluent, Kafka, Spark Streaming with Databricks, et cetera. You'll get the flexibility you need using any of those platforms. I'd rate the solution at a seven out of ten. We had some issues with the jobs not behaving properly. They promise a lot, however, sometimes that doesn't happen and we realized that later. Some things under the hood, we couldn't really understand and we needed to get in touch with support. Those kinds of issues are where I would say it needs a bit of improvement, and maybe that's why I cut off two or three points.

Business Architect Expert at a government with 51-200 employees
Real User
02 March 21

Overall, we've been quite happy with the product. I would rate it at a nine out of ten.

Real User
29 January 21

I would advise potential users to properly plan and structure their static data and the reference data before putting it into the Stream Analytics. On a scale from one to ten, I would give Azure Stream Analytics an eight.

Yasmina Ali - PeerSpot reviewer
Collaboration Consultant at a tech services company with 201-500 employees
Top 20
11 October 20

If you want to deploy IoT services, this solution will be very helpful for real-time applications and for collecting data. I would rate Azure Stream Analytics a seven out of ten.

Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
633,572 professionals have used our research since 2012.
BI Developer at a tech services company with 51-200 employees
Real User
22 September 20

My simple advice would be to not scale up initially. Also, if you have questions don't just rely on the official documentation, but use other resources such as a blog by a developer, because sometimes that can be more helpful than documentation provided by the company. The best advice I can offer would be that if there is a simple solution available, do not try to complicate things. I would rate this solution an eight out of 10.

Alwin George Daniel - PeerSpot reviewer
RPA DevOps Engineer at SG Analytics
Real User
22 September 20

Azure Stream Analytics is something that we were able to easily learn. It doesn't take much programming sill, so I feel that it is easy to start using. Other than the problem with delays in connecting to Microsoft BI, Kibana, or other monitoring tools, I don't have any other issues with this product. I would rate this solution a nine out of ten.

Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees
Real User
22 August 18

We have a mixed system. We also use IBM AIX in addition to the Microsoft platform. That means that ATP works successfully with Microsoft for us. If you want to implement it, the benefits are greater if you have a Microsoft in the surrounding systems. Implementation is always easy. The hard part is then when you must have to use it, when you must work with it. An important part is education, this shouldn't be neglected. I would rate Azure Analytics at eight out of 10. It gives us what we need, we are satisfied with the results.

Related Questions
Netanya Carmi - PeerSpot reviewer
Content Manager at PeerSpot (formerly IT Central Station)
Oct 24, 2021
See 1 answer
Dovid Gelber - PeerSpot reviewer
Tech blogger
24 October 21
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their organizations, an easy-to-set-up program is essential to overall success. There is no precise timeline for how quickly Databricks can be set up by a given organization. That will likely be determined by the skill of the team tasked with implementing it. However, the documentation that is provided to aid in the setup is straightforward and goes a long way to ease the implementation of this solution. It is not unusual for the rollout to take as little as 20 minutes for an efficient team to complete. Databricks is also both highly flexible and versatile. If teams find that the scale of the product is such that they need to expand the load that it handles, then this can be accomplished with ease. The system actually offers recommendations to help optimize its efficiency. The only limit on its versatility is your organization’s budget. The support team that is responsible for aiding users when they face issues is extremely efficient and responsive. The support team even goes so far as to connect users so that they can share information that could improve the ability of those organizations to use this solution. Additionally, they are proactive and attempt to anticipate the potential needs of Databricks customers. Databricks is designed to overcome the problem of different coding environments only working with certain programs. The solution allows users to integrate their data into various environments as is required. This means that it becomes easier for people to work together and share information across platforms seamlessly. Azure Stream Analytics allows users to analyze data in real time. This can be extremely useful for organizations that rely on streams of data to do business. However, its ability to collect historical data leaves something to be desired. This serves as a disadvantage for companies that rely on such data to operate.Conclusion I would choose Databricks over Azure. Databricks’s ability to connect to many types of cloud service gives it an edge over Azure. This functionality makes it a more versatile and, in my opinion, more effective tool.
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