In fact, current Cloud Datastore’s NoSQL implementation of relationships 
between data objects differs from traditional databases. And the observed 
feature differences in this thread can be related to what is described on 
the Google Cloud Datastore Overview documentation 
<https://cloud.google.com/datastore/docs/concepts/overview>.

Nevertheless, in case you would want to migrate your data to another Google 
Cloud application, you can use the Cloud Storage backing up functionality 
to export a datastore backup into a Storage bucket (See this Backing up 
data section 
<https://cloud.google.com/appengine/docs/standard/python/console/datastore-backing-up-restoring#backing_up_data>
 
of the Managing Datastore guide). Note that using this method, also allows 
to export your data to other Google Cloud Platform services, such as Google 
BigQuery (See Backup and restore considerations 
<https://cloud.google.com/appengine/docs/standard/python/console/datastore-backing-up-restoring#backup_and_restore_considerations>
).

Lastly, here is a guide 
<https://cloud.google.com/appengine/docs/standard/python/tools/remoteapi> 
about Accessing App Engine with Remote API, that may get you further 
insights on how to write a client to download the data according to your 
specifications. See step 6 of Using the Remote API in a local client section 
<https://cloud.google.com/appengine/docs/standard/python/tools/remoteapi#using_the_remote_api_in_a_local_client>
 
for an example on how to format and retrieve data from a Datastore instance.

Hope you’ll find this information insightful and feel free to look at 
different Cloud products as Cloud SQL <https://cloud.google.com/sql/docs/> 
that may more accurately suit your needs. In case you would like to see the 
previously available "appcfg.py” [download_data] available in this Cloud 
Datastore implementation, it is possible to open a Features request on this 
Issue Tracker and making sure to specify “Feature Requests” under Component.

Regards,

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