This is a stable solution, although we have had problems with JavaScript. When you have many JavaScripts running, sometimes you have something that freezes, but we didn't know whether it was based on our network, the configuration, or the tools. It is difficult to identify the precise cause.

In general, there are no major issues.

We haven't had any issues with stability. 

It is a stable solution. It's reliable. I'd rate its stability ten out of ten. There are no bugs or glitches, and it doesn't crash or freeze. 

The solution is stable and reliable. There are no bugs or glitches. It doesn't crash or freeze. The performance is good. 

It is a pretty stable solution. Stability-wise, I rate the solution a nine out of ten.

I would rate it eight out of ten. 

I don't have much experience with production environments since they are usually managed by DevOps rather than me when I deploy my work. However, I believe the solution is stable.

I would rate the stability of the solution at a six out of ten. Improving stability involves finding people with the right skills to handle problems that arise. While stability depends on how well the solution is installed, ongoing efforts are needed to address issues and refine the system. We are working step by step to identify and solve problems, but there's room to find more comprehensive solutions as they come up.

Stability-wise, I rate the solution a seven out of ten. With ML, you may face some data-related issues, especially considering that when dealing with customers at times, the data that comes in might not be clean. Stability-wise, you may face certain problems when you fail to refresh the data in the solution.

Microsoft Azure Machine Learning Studio is a stable solution. My company is already using it in production. At least customers use the recommendations from Microsoft Azure Machine Learning Studio in production, so the solution is quite stable, at least in cases developed by my company.

I haven't had any problems with stability. 

No issues with stability.

The solution's stability depends on the fragility of libraries and the availability of services. Sometimes, the demand is very high in the public cloud, and performance and availability issues have occurred.

I rate the solution a six out of ten for stability.

I think Microsoft Azure Machine Learning Studio is more stable than Google.

It's quite stable. There are no bugs or glitches. It doesn't crash or freeze. It's reliable and the performance is good. 

I rate the tool’s stability a ten out of ten.

It's pretty stable, and I have not had any issues. I would rate the solution's stability at nine out of ten.

The stability of Microsoft Azure Machine Learning Studio could improve. The solution is good for test development but it is not good for production environments.

The solution is stable.

The functionality of Microsoft Azure Machine Learning Studio, specifically its underlying computing power, was managed by Azure, so stability-wise, it's a good solution.

The solution is stable. I rate its stability an eight compared to Mathematica.

I haven't used it long enough to have found any bugs in our current system. If there were bugs I would definitely report it on their website.

The stability is impeccable. I would rate it ten out of ten.

It's a stable solution. Microsoft is very stable in general.

The solution is reliable. There are no bugs or glitches. We haven't experienced crashes or freezing. It's stable. It's very good in that sense.

The stability is good and we haven't had any issues.

The tool is mature.

It is a highly stable platform. I rate its stability a nine out of ten.

The solution is stable.

From my experience over the past few months, I've found it to be pretty stable. I don't know how stable it would be if operationalized.

Up to this point, we have not faced much in terms of issues with stability.

This is a stable solution. 

Out of about 150-plus MLS experiments I have done, maybe two or three bugged out. Interestingly enough, those are the ones I can’t delete out of the account.

The stability is questionable, given that Microsoft will be retiring the classic version of this product in 2024, and it's unclear how this will affect projects created on the classic version.

The solution is stable. I didn't have any lags or anything. It was smooth. There are no bugs or glitches. I don't recall it crashing or freezing on me.

I've only used the solution a couple of times. I haven't noticed any bugs and when I used it, it worked quite smoothly.

Regarding the stability and scalability — so far so good; however, we're still exploring quite a bit. It's too early to really comment because the customer has already paid. They've just started their journey. We are yet to explore exactly what and how they want to use it. 

I don't know about its stability yet. We're facing some issues, and we are approaching the product team for help. It might also have something to do with our environment setup. Our environment is inside V-Net, and we have a lot of security requirements.

Microsoft Azure Machine Learning Studio is a stable solution.

This is a stable solution.

Stable at moment.

The solution is very stable. We haven't had issues with bugs or glitches. We haven't experienced any crashes.