The answer is “not directly”. If you are able to load MongoDB/ArangoDB data into a Pandas or Spark dataframe, you can work with the data this way. See e.g. at https://docs.greatexpectations.io/en/latest/tutorials/create_expectations.html?highlight=batch_kwargs#load-a-batch-of-data-to-create-expectations - instead of providing a ‘path’ key, you would provide a ‘dataset’ key with the Pandas or Spark DF.
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