This is an interesting read: http://tokyocabinet.sourceforge.net/tokyoproducts.pdf
I wonder if you shouldn't be comparing tokyo tyrant to memcached, in which case they are comparable. The way I read this table, what it says is that tokyo-cabinet (the database) is almost as fast as python-dicts, in memory... That seems to make an arguemnt to move to (some?) column versoin of this db... when looking also at things like Cassandra and Voldemort, this (to me at least) is making an additional argument to make a DAL for column-based databases - perhaps these 4 (Tokyo Cab, Cassandra, Voldemort, bigtable). On Fri, Jul 3, 2009 at 8:44 AM, DenesL <[email protected]> wrote: > > On Jul 2, 9:54 pm, gluegl <[email protected]> wrote: > > > http://anyall.org/blog/2009/04/performance-comparison-keyvalue-stores-for-language-model-counts/ > > The posted results suggest a ten fold performance gain using tokyo > cabinet over memcached (using libmemcached). There is a Tokyo Cabinet > Python bindings package available at http://pypi.python.org/pypi/pytc/0.8 > > It may be something to look into. > > > > > --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "web2py Web Framework" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/web2py?hl=en -~----------~----~----~----~------~----~------~--~---
