Best Python memcache client: Python-memcached v/s Pylibmc

Recently, I tried to access memcached server on local and remote setup in a Python application. I am sharing my experience with two of most popular clients.

Python-memcached

• The first choice was a pure  Python solution to access memcached, that is python-memcached. It is a simple to install, understand and use solution.
• It do not offer many customization setting, at least on its README 🙂
• Very less or non-existent, useful documentation
• Fails consistently for a high frequency request to memcached server. Failures are for simultaneous read on a file xxx.  I could not find an easy fix for this problem.
• I do not suggest using it for a highly scalable application.

Pylibmc

• Bare minimum Python wrapper to C/C++ API to memcached
• Installation was simple similar to Python-memcached
• Offers many useful options during connection setup (such as non-blocking requests, TCP no-delay disable)
• Shows no problem in demanding and highly scalable application
• Shows better performance than Python-memcached

My verdict: Pylibmc is a clear winner 🙂