Users often run Featuretools in environments where they either cannot persist data or only have access to a shared file system like S3.
For example, a user a using jupyter notebook service like AWS SageMaker would lose access to any saved feature list if they saved their feature definitions to disk.
It would be very useful to be able to easily save and load feature definitions from S3.