[hello_moto]

Thank you for the reply!

My question for point #2 is in the line of the need to perform data migration actually.

Let's say you have a bug on your code in a way that the data stored currently are wrong and you need to fix them up by performing a batch update. Would that hurt you in terms of cost? How would you handle such situation?

Or let's just say that your user profile data model needs to be re-jiggered to support a new feature (adding columns, changing current columns, etc).

[krisrak]

it depends on how big your data is, but every query operation, every fetch, every write operation it charged. http://code.google.com/appengine/docs/billing.html has details on how many read/write datastore API calls are made per operation. if u have to write in a new column for thousands of entries, then it will cost a bit, $0.10/100k operations, one re-write has 7 operations + incoming/outgoing bandwidth cost + instance usage cost will apply, it is hard to estimate actual cost.