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Published : Apr 13, 2021
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2021
Hold ? Proceed with caution

We've observed before that the cloud providers push more and more services onto the market. We've also documented our concerns that sometimes the services are made available when they're not quite ready for prime time. Unfortunately, in our experience, Azure Machine Learning falls into the latter category. One of several recent entrants in the field of bounded low-code platforms, Azure ML promises more convenience for data scientists. Ultimately, however, it doesn't live up to its promise; in fact, it still feels easier for our data scientists to work in Python. Despite significant efforts, we struggled to make it scale and lack of adequate documentation proved to be another issue which is why we moved it to the Hold ring.

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