Salutations Jason,

You have three options depending on what your data will be used for and how 
you want to access it.

The fastest and more scaleable is Datastore 
<https://cloud.google.com/appengine/docs/python/datastore/>. It is designed 
for high speed reads. It is NoSQL <https://en.wikipedia.org/wiki/NoSQL> which 
is tough for many DB Admins to wrap their heads around. I would recommend 
this in 90% of situations.

BigQuery <https://cloud.google.com/bigquery/what-is-bigquery> is all about 
data processing. It is similar to SQL database but its data is immutable 
once entered. So you can add and read data extremely quickly but you can 
never change data once it's in. I.E you can add constantly rows to the 
database but once the row is added you cannot change the values.

CloudSQL <https://cloud.google.com/appengine/docs/python/cloud-sql/> is a 
MySQL database running on the platform. It supports many of the standard 
features people love about MySQL. Performance might be an issue as you 
grow. For small and medium use its perfect but if you get into many users 
all trying to access at once you will run into issues 
<https://cloud.google.com/sql/faq#sizeqps>.

On Tuesday, June 23, 2015 at 12:58:47 PM UTC-4, Jason wrote:
>
> I apologize for the ignorance of this question, but could you help me 
> understand which of Google's products/services is appropriate as a 
> small-to-medium size database (i.e. a few thousand rows and perhaps a dozen 
> columns per table, with a small # of tables) to be queried by an Android 
> app with some sort of API key?
>
> Is it BigQuery or would BigQuery be too big and slow? Is there some other 
> (SQL-like (?) ) product or what's the best practice with this?
>
> Thanks
>

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