In article <891a98fa-c398-455a-981f-bf72af772...@s36g2000prh.googlegroups.com>,
Jeremy  <jlcon...@gmail.com> wrote:
>
>I have lots of data that I currently store in dictionaries.  However,
>the memory requirements are becoming a problem.  I am considering
>using a database of some sorts instead, but I have never used them
>before.  Would a database be more memory efficient than a dictionary?
>I also need platform independence without having to install a database
>and Python interface on all the platforms I'll be using.  Is there
>something built-in to Python that will allow me to do this?

If you're serious about needing both a disk-based backing store *and*
getting maximum use/performance from your RAM, you probably will need to
combine memcached with one of the other solutions offered.

But given your other requirement of not installing a DB, your best option
will certainly be SQLite.  You can use :memory: databases, but that will
require shuttling data to disk manually.  I suggest that you start with
plain SQLite and only worry if you prove (repeat, PROVE) that DB is your
bottleneck.
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