Azure Machine Learning studio is not ready for serious production use
August 23, 2019

Azure Machine Learning studio is not ready for serious production use

Anonymous | TrustRadius Reviewer
Score 2 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Microsoft Azure

I create data science learning materials on Azure that require no coding. I use publicly available property data from Hong Kong island and surrounding areas. I teach my students how to preprocess the data, clean it up and create a hypothesis based on the type of data. We apply learning algorithms on the data and improve on the mode. The dataset was relatively small yet it took a while for the platform to get the analysis.
  • Adding python scripts
  • Pre-trained models
  • Case studies of industry projects
  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Good UX/UI and overall good usability, but it takes a while to get used to the product & platform. The whole design seems fragmented with little in terms of integration with project management tools such as JIRA, or wireframing. Overall it feels like an unfinished product that's meant for teaching more than for production.
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
H20.ai assumes the users are non-technical and with 10 mouse clicks is able to run a data science project.
Azure can be a more unified product. It feels like 10 different tech teams were building it but we're not talking to each other. An example is when the user needs to know what is the next step. Automatically saving a previous state is very helpful as new users are usually not aware of the functionality.

Azure Machine Learning Studio Feature Ratings