Microsoft Azure Machine Learning Studio Competitors and Alternatives

What is most valuable?

Of the available feature set, I like the Imageflow feature a lot. It is very interesting. It gives me clarity on the execution of a process. I can draw the complete flow from start to finish in the exact way that I want it to execute. It is more visual and it is also easier for the people in… more»

What needs improvement?

I think the automatic categorization of variables needs to be improved. The current functionality is not always efficiently identifying the features of the data that is collected. Probably that is the only thing I can think of. Apart from that, I have not explored the product enough yet to go into… more»

What other advice do I have?

On a scale from one to ten where one is the worst and ten is the best, I would rate Databricks overall as around a 7 or 7.5. If we had more experience with it and could be sure we had a solid understanding of what it could do and the reliability, I might recommend it with a better score. I do not… more»

Which other solutions did I evaluate?

I did have some experience with SageMaker before looking at Databricks, but apart from we have not been looking into any of the other solutions that are available. We were just exploring a few of the different solutions that the members of the team already have experience with. Most of the team came… more»

What is most valuable?

The deployment is very good, where you only need to press a few buttons. AWS CloudWatch, the monitoring system, is really good. You can write just a few rules to watch and see whether there are any changes in the deployment or the deployed models. The documentation is good.

What needs improvement?

The interface and the IDE are in need of improvement. For example, including drag and drop functionality would be helpful. If the ETL can be made a little better then that would be good for us. The entire machine learning project flow, or data science project flow, can be a little better. It is good… more»

Which solution did I use previously and why did I switch?

I have also used the Microsoft Azure Machine Learning Studio and Databricks, and the interface is a little better with these solutions. The Microsoft solution is really good in terms of user experience. When it comes to deployment and integrating with cloud services, Amazon SageMaker is better.

What other advice do I have?

My advice to anybody who is considering this solution is to think about using multiple cloud services. This solution is really good but it has a few problems. In terms of deployment, it is a clear winner. For developing machine learning models, taking the user experience into account, I would… more»