There may be some performance issues using the low-level API, but the
overhead should be fairly negligible (though I have seen benchmarks that
have stated the contrary). The main advantage in terms of performance is in
cold startup speed. The low-level API provides flexibility at the cost of
type safety. While I think it's important to understand the low-level API to
better grok datastore concepts, you might also want to check out third-party
persistence projects such as Objectify, Twig or Slim3 (this is more of a
full stack framework).

On Fri, Sep 10, 2010 at 8:49 AM, mscwd01 <[email protected]> wrote:

> Hey,
>
> I am working on a project which has a high number of reads and writes
> to the datastore and currently use JDO.
> Looking at my logs a typical request time is anything between 200ms
> and 800ms with the average being 450ms. I have read that using the low
> level api to access the datastore may significantly reduce the cpu
> time my app accumulates.
>
> Has anyone used the low level api and found it to be much quicker?
>
> The operations I usually perform are retrieving, modifying and then re-
> saving entities and I have, to the best of my knowledge, written it as
> efficiently as possible.
>
> Thanks for your time.
>
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-- 
Ikai Lan
Developer Programs Engineer, Google App Engine
Blog: http://googleappengine.blogspot.com
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