There's a lot of work being done in the open source communities to try to
address the need for easier to scale structured data:

Beyond the key-value stores:

http://drizzle.org/
http://www.mongodb.org/

I'd suggest looking at this projects (amongst others) and even
contributing.

On Tue, Aug 3, 2010 at 7:46 AM, rvjcallanan <[email protected]> wrote:

> I understand that Google is intending to introduce an SQL back-end in
> GAE for Business. This is good news but there may also be an
> opportunity here to do more than just bolt on SQL for the sake of the
> die-hards amongst us.
>
> I am wondering if Google can come up with an SQL implementation (or
> abstraction layer) which has the high scalability and high concurrency
> potential of the DataStore but with the following stipulation:
>
> The number of SQL database/schema instances can grow indefinitely but
> each instance will have practical size and concurrency limits.
>
> It might even be possible to store SQL instances as transaction-safe
> and data-consistent "entity groups" within the existing Datastore
> paradigm.
>
> Such a high scalability SQL model would support applications which
> manage "chunks" of SQL-based data which are independent of each other
> with each chunk accessed by a limited number of users (typically one).
> There would have to be some application mechanism for imposing
> practical size limits on each chunk e.g. a housekeeping or archive
> operation.
>
> There are many real world cases which could work within these
> restrictions and SQL would be a boon to rapid application development,
> schema-based data consistency and running complex queries and reports.
>
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-- 
Ikai Lan
Developer Programs Engineer, Google App Engine
Blog: http://googleappengine.blogspot.com
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