Hello

We're glad to see that Google announced a reduced Datastore pricing, 
starting July 1st 2016:

https://cloudplatform.googleblog.com/2016/03/Google-Cloud-Datastore-simplifies-pricing-cuts-cost-dramatically-for-most-use-cases.html

Finally the costs are entity based, regardless of amount of properties and 
indexes involved. Big Kudos also on the newly introduced 'Entity deletes' 
pricing, to finally enable us to delete / offload entities no longer used, 
an operation which after years of operation was becoming for many use cases 
too expensive.

Unfortunately Google decided to keep the pricing per Stored GB at $0.18 
month, which still means $180 monthly per TB stored. We're having a bit of 
concern seeing no cost reduction on this part, especially as announcements 
on BigQuery side are made where 'historical data storage' now costs as less 
as $0.01 per month, 18x cheaper than DataStore, with no performance 
reduction:

https://cloud.google.com/blog/big-data/2016/03/google-bigquery-cuts-historical-data-storage-cost-in-half-and-accelerates-many-queries-by-10x

https://cloud.google.com/bigquery/pricing#long-term-storage

Can Google please comment on what justifies a 9 to 18 times higher storage 
pricing on Datastore compared to BigQuery? I assume both systems are highly 
distributed and make use of similar storage layers on Google side. How come 
BigQuery became so cheap, while Datastore Storage is still incredibly 
expensive? Not to mention that loading operations are even free on BigQuery 
side.

We would love to store a massive amount of data in our App Engine 
Datastore, but at a price of $180 per Terabyte we will be forced to offload 
data from Datastore to some cheaper storage system for long-term retrieval.

A reduction of Datastore Storage Pricing would be highly appreciated.

Best regards,
Marcel


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