Azure Stream Analytics Scalability

Sudhendra Umarji - PeerSpot reviewer
Technical Architect at Infosys

We have around 50 people using the solution currently.

The solution can scale well. It's not a problem at all. 

Mainly the users are developers, DevOps, and the QA automation team.

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JeffryChia - PeerSpot reviewer
Manager | Advisory PI | Data & Analytics at a consultancy with 10,001+ employees

This solution is on the cloud and, therefore, can scale quite well. It can meet a company's needs if the organization needs to expand. 

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Naveen Shukla - PeerSpot reviewer
Store Assistant at Reliance Industries Ltd

I rate Azure Stream Analytics a ten out of ten for scalability.

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Buyer's Guide
Azure Stream Analytics
March 2024
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
BS
CCoE at Slk softwares

Scalability is pretty good. It is pretty straightforward. We have over 1000 users. We have plans to increase the usage of this solution and expand at a global level. 

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SS
Sr Manager at a transportation company with 10,001+ employees

In my department alone, about 510 people use it.

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Kiran Siddeshwar - PeerSpot reviewer
Data Analyst & Engineer at Xerotech

Azure Stream Analytics is very scalable.

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Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees

This is a scalable solution. 

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Deepanshu Thakur - PeerSpot reviewer
Co-Founder at Mandelbulb Technologies

Azure Stream Analytics is a scalable solution.

My company deals with small, medium, and enterprise-sized customers for the product.

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Avik-Sadhu - PeerSpot reviewer
Cloud Enterprise Architect at a tech services company with 10,001+ employees

We have found this product to be easily scalable.

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AD
RPA DevOps Engineer at SG Analytics

The scalability is based on the requirements. If the requirements are high then highly-scalable machines are needed. If it is more manageable then it is cheaper. I think that scaling is really about the cost.

We have a development team and an operations team that is working with Azure Steam Analytics. There are seven or eight people in the operations team. The customer also has access to the platform if they require it.

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Olubisi Akintunde - PeerSpot reviewer
Team Lead at a tech services company with 1,001-5,000 employees

Azure Stream Analytics can improve the scaling and the connectivity to external datasets.

We are not using this solution extensively and we do not plan to increase usage.

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MA
Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees

Our system has approximately 700 servers and a lot of other components and we are satisfied with it at this level.

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Lalani Samir - PeerSpot reviewer
Senior Xamarin Developer at Ezyhaul

The solution is scalable. We can add users when needed. Over 50 employees, including developers and QA managers use this product in our company.

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ChibuzorObilom - PeerSpot reviewer
Senior Software Quality Assurance Analyst at M-KOPA

The solution is scalable. We have around more than 100 developers using it.

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YA
Collaboration Consultant at a tech services company with 201-500 employees

Its scalability is okay. In Azure Stream Analytics, I can add more data sources through reference or IoT hub. 

For the demo, we had a team of 20 users. The customer was looking at allowing around 20,000 users for this solution.

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TG
Business Architect Expert at a government with 51-200 employees

Scaling is okay, so long as the cluster isn't overloaded.

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SK
Consultant

We don't have to worry about scalability. It's in the cloud and can have millions and millions of things connected. The software part is easy to scale. You just have to add all the hardware. For the web application, the hosting part can be scaled. We don't have to worry about the desktop as the solution is deployed in the cloud. The scalability is based on our choices. It's not like it's manually hosted in private, and we have to scale it vertically.

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AF
BI Developer at a tech services company with 51-200 employees

It's very easy to scale this solution. We probably have a couple of hundred users and we have developers who deal with maintenance. This is our main tool for real time data streaming. 

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Buyer's Guide
Azure Stream Analytics
March 2024
Learn what your peers think about Azure Stream Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.