What is the difference between domain randomization and data augmentation?

Domain randomization (https://arxiv.org/abs/1703.06907) is used to create a synthetic dataset with enough variance that it will encompass unseen real data, as just one variation.

I am trying to understand how this is different from applying data augmentation techniques to a synthetically generated dataset.