Microsoft Azure Machine Learning Studio Reviews

I use Azure Machine Learning Studio in my project to find solutions and build prototypes. It is mainly for fund management purposes and creating tools for specific cases.

The most valuable feature of Azure Machine Learning Studio for me is its convenience. I can quickly start using it without setting up the environment or buying a lot of devices.

Microsoft Azure Machine Learning Studio could improve in providing more efficient and cost-effective access to its tools for companies like mine.

I have been using Azure Machine Learning Studio for almost three years.

I would rate the stability of Azure Machine Learning Studio at around seven out of ten. Occasionally, there are minor hiccups, possibly related to bandwidth or server issues, but nothing significant.

The scalability of the solution is quite good and I would rate it as an eight out of ten. While it hasn't yet missed our requirements, we haven't pushed it to its limits. We don't deal with edge cases that demand extreme scalability.

Our clients typically include large multinational or state enterprises, as well as national companies in Indonesia.

Azure's setup feels friendlier and easier compared to AWS, making it simpler to understand and use. I would rate the easiness of the setup as an eight out of ten.

Deployment typically takes a few days to a few weeks to build prototypes and get familiar with available features. It is not too short to explore challenging cases, yet not too long to maintain efficiency.

I would rate the costliness of the solution as a nine out of ten.

I would recommend Azure Machine Learning Studio to others if they have enough resources to handle it. However, it is not a plug-and-play solution; there is a learning curve that needs to be addressed.

Overall, I would rate Azure Machine Learning Studio as an eight out of ten.

We develop products on the solution. It also provides fraud detection. We use it mainly for IoT to save on the electricity bill for heating in the warehouses.

The product supports open-source tools. The integration with data services is an important feature. We use it in case the data is already available.

The price could be improved.

The tool is mature.

The tool is scalable. We have four users in our organization. We have plans to increase the usage in the future.

Whatever we develop, we deploy from the GUI. The tool can be easily deployed.

We do the deployment in-house.

We have an enterprise contract.

We used Google in the past.

Overall, I rate the solution a seven out of ten.