I thought you guys might be interested in the benchmarking I did with PyPy 1.9. This is using Couchbase 2.0 beta on a 4 core, 1 GB RAM desktop VM.
PyPyPythonMemcache Set data... cmds/sec: 13963.8015515 Get data... cmds/sec: 14510.1441181MemcachedClient Set data... cmds/sec: 1665.47185465 Get data... cmds/sec: 2730.90764793VBucketAwareClient Set data... cmds/sec: 2780.81998621 Get data... cmds/sec: 2441.40494033CouchbaseClient Set data... cmds/sec: 490.537448891 Get data... cmds/sec: 482.249937762Compared to a Cpython run on the same server.
CPython 2.7PythonMemcache Set data... cmds/sec: 1235.09524185 Get data... cmds/sec: 1240.61652836MemcachedClient Set data... cmds/sec: 1752.96316862 Get data... cmds/sec: 2100.30476749VBucketAwareClient Set data... cmds/sec: 2160.82053381 Get data... cmds/sec: 2116.85847056CouchbaseClient Set data... cmds/sec: 508.925204624 Get data... cmds/sec: 487.211121589I suspect that the reason the PythonMemcache test is so much faster is because it is pure python (CPython extension calls are slower in PyPy than in CPython which can negate the performance increase,
http://doc.pypy.org/en/latest/faq.html#do-cpython-extension-modules-work-with-pypy) and doesn't do any threading (Threading hurts python performance because of the GIL,
http://dabeaz.blogspot.com/2010/01/python-gil-visualized.html).