We tried Azure, and their tech support wasn't great. It took a long time for them to get back, and they might not have much regional coverage. I don't know if they have it, but AWS dominates the region, and most companies use it. When we were looking for solutions, we did some research, but the feedback for Azure wasn't positive.

I evaluated other options like ML Studio and a few others but chose Amazon SageMaker because of my familiarity with their services and features.

I've had a little bit of a look at Azure, but I didn't get into the level of detail I did with Sagemaker. I have worked reasonably intentionally with DataRobot and H20. But SageMaker is a way bigger, way more capable platform. The AutoML is very simple, and it is much, much cheaper. The cost of SageMaker is nothing. By contrast, if you're using DataRobot, you'll pay $100,000 plus for a five-year license.

We are not with Anaconda Solutions, we use their packages. We are exploring their interface and it's capabilities. We are currently on a different tool, on a different platform. We are using their package managers to access the set of solutions deployed.