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Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
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What is your experience regarding pricing and costs for Azure Stream Analytics?


We all know it's really hard to get good pricing and cost information.

Please share what you can so you can help your peers.

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

I am unsure of what the licensing costs are for this solution.

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

We find the pricing to be a little bit higher side. If that could become a bit more competitive with, for example, AWS or something, that would be great. We pay approximately $500,000 a year. It's approximately $10,000 a year per license. I'd rate it a three out of five in terms of affordability.

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

In terms of pricing, you can't compare it to open source solutions. It would be higher compared to open source, of course, however, with the support and everything you're getting, I would say the price, in general, is fair. I have seen AWS as well and can compare it to that and I would say it is fair. The problem is it is not exactly dynamic or serverless, with how the way things are in the cloud. Therefore, it is not completely utilized. You have to set up things beforehand with some level of capability and capacity beforehand. In regards to the price, it's not too high and also not too low. Their pricing is not exactly serverless. It's per hour. A lot of others are moving towards pricing based on the amount of data you pull. Streaming Analytics charges per hour, and in that sense, you need to set up the capacity by trial and error, literally.

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

The product does have a free trial offer, however, it is much too short. It's only 14 days and that's not enough time to run a proper POC.

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

The cost of this solution is less than competitors such as Amazon or Google Cloud. If we only use one hour then we are only charged for one hour. It is very easy and some products are more expensive.

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

Our firm works in the former Yugoslavia: Croatia, Bosnia, and Serbia, Macedonia, and Montenegro. The prices are different in these markets. Of course, we always want to have the lowest price but that doesn't mean price is the main factor when buying something. It is one of them, for sure. Maybe we cannot afford the most sophisticated tool there is, so price is important, but not the most important thing when we buy something.

Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: September 2022.
632,779 professionals have used our research since 2012.
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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