Google has released AutoML service for structured datasets (AutoML Tables, currently in Beta). I've compared my open-source AutoML python package mljar-supervised with Google AutoML Tables on 6 datasets from openml.org. The results of Google AutoML Tables are poor (I was using 1-hour training). I think that the reason for poor results is a short training time. I think that the 1-hour of training on 92 machines in parallel is not enough for Google optimization algorithm. I believe they are using some Neural Architecture Search algorithm which is not very efficient. Maybe training for a longer time will give better results but the cost of 1-hour training is ~20USD so it can easily skyrocket.