Hi Thorsten.

Here is a description of a real world example:

In that article you will also find some links to functions that might or
might now be of use to you, such as (ext).

When it comes to distributed data and PicoLisp you don't get much for free
(apart from the aforementioned ext functionality). It's more like a
framework with which you are able to create something more specific.

In short, you won't get something like Cassandra, Hadoop or Riak out of the
box but you could certainly create something like them with the tools that
you do have.

And you could probably create something similar to those three with less
hassle than it was to create them in their respective languages (Java /


On Thu, Mar 24, 2011 at 6:11 PM, Thorsten <
gruenderteam.ber...@googlemail.com> wrote:

> Hallo,
> I recently discovered (amazing) picolisp and have a few (I hope not too
> naive) questions. I write one mail for each question to not mix up
> things.
> I read in the documentations about distributed picolisp databases, the
> ability to make picolisp apps faster and faster by adding hardware cores
> (and using different pipes of the underlying linux OS?), and the
> possibility to deploy picolisp-apps in the clouds. But these things are
> only mentioned, without further explications.
> Since scaling and concurrency is all the hype in the Java world (scala,
> clojure) I would like to know a bit more about capabilities and limits
> of picolisp in this area, and how these things are achieved in practise
> (ie how to deploy an picolisp-app in the cloud?)
> Thanks
> Thorsten

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