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2018-08-22T11:28:00Z
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
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What needs improvement with Azure Stream Analytics?

Please share with the community what you think needs improvement with Azure Stream Analytics.

What are its weaknesses? What would you like to see changed in a future version?

9
PeerSpot user
9 Answers
Lalani Samir - PeerSpot reviewer
Senior Xamarin Developer at Ezyhaul
Real User
Top 5
2022-08-12T07:27:34Z
12 August 22

The product could be improved by providing more detailed analytics. For example, a graph to identify the past, present and current users. Additionally, UI and UX testing could be supported on this solution.

Sudhendra Umarji - PeerSpot reviewer
Technical Architect at Infosys
MSP
Top 5
2022-05-29T12:44:00Z
29 May 22

I haven't come across missing items. It does what I need it to do. The pricing is a little bit high. The UI should be a little bit better from a usability perspective. The endpoint, if you are outsourcing to a third party, should have easier APIs. I'd like to have more destination sources available to us.

SR
Associate Principal Analyst at a computer software company with 10,001+ employees
Real User
Top 20
2021-09-24T19:49:20Z
24 September 21

With Azure specifically, the drawback is it is a very Azure-specific product. You can't connect it to external things out of Azure. For example, Spark or Databricks can be used in any cloud and can be used in AWS. This product doesn't work that way and is very Azure-specific. It's not a hybrid solution and it's not a cloud-agnostic solution, where you put it on other clouds, et cetera. We had some connections which we wanted to make with AWS, which we couldn't do with this. We had to use something else for that. Early in the process, we had some issues with stability. You cannot do joins on streams of data. For example, one stream joining with another stream. Real-time to real-time joins, you're not able to do that. You can only join your stream with static data from your Azure storage.

TG
Business Architect Expert at a government with 51-200 employees
Real User
2021-03-02T16:21:55Z
02 March 21

While it depends on the business scenario, in some cases AWS offers better features. It's hard to speak to missing features at it really depends on the business case. However, in general, it has all the features a typical company might need. The solution needs to be marketed better. Developers should be pushed or enticed to use the solution more to get it more well-known on the market. It needs more of a presence. The solution offers a free trial, however, it is too short. You can't really properly test it before you have to start paying. They need to give companies a longer period of time to try it out risk-free. Also, the functionality is very limited. If you want to do a POC, you need the solution to offer more flexibility. Right now, you get a 14-day window, and that's not enough for a proper test.

SK
Consultant
Real User
2021-01-29T16:07:52Z
29 January 21

The collection and analysis of historical data could be better. We use historical data and an assimilating algorithm to give us insights into the entire business process. We can collect all the historical data periodically to get insights into current business trends. For example, which area is getting emptied most of the time or which area is getting underutilized, and so on.

Yasmina Ali - PeerSpot reviewer
Collaboration Consultant at a tech services company with 201-500 employees
Consultant
Top 20
2020-10-11T08:58:04Z
11 October 20

It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics.

Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
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AF
BI Developer at a tech services company with 51-200 employees
Real User
2020-09-22T07:16:06Z
22 September 20

There are some improvements that could be made, first of all in pricing, because right now the pricing is a bit unclear. It's hard to estimate how much of that is a local issue but you can't figure out how prices are calculated or the proprietary part of the cost. Another area that could be improved is that if something does go wrong, it's very hard to investigate what caused it and why. The logging is available but it lacks detail and doesn't provide much information.

Alwin George Daniel - PeerSpot reviewer
RPA DevOps Engineer at SG Analytics
Real User
2020-09-22T07:16:06Z
22 September 20

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.

MA
Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees
Real User
2018-08-22T11:28:00Z
22 August 18

We would like to have something that includes the desktops, and perhaps the main system, so we can protect our systems before a threat happens.

Related Questions
Netanya Carmi - PeerSpot reviewer
Content Manager at PeerSpot (formerly IT Central Station)
Oct 24, 2021
Why?
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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