r/MachineLearning - [D] ML Model building vs. ML software suits

I have heard a lot about rising popularity of machine learning'plug and play' program suits such as IBM Watson and Aspentech Mtell. I am used to building my own models and identifying the best candidate fit for each new dataset, these developers claim they can do all this automatically. Do any of you have any hands-on experience with the performance of these models and the strengths and weaknesses compared to building your own?