24 May 2010
Python,
Django
This blog post is
7 years old! Most likely, its content is outdated.
Especially if it's technical.
django-mongokit is the project you want to use if you want to connect your Django project to your MongoDB database via the pymongo Python wrapper. An alternative (dare I say competing alternative) is MongoEngine which is bridge between Django and straight to pymongo. The immediate difference you notice is the syntax. django-mongokit looks like MongoKit syntax and MongoEngine looks like Django ORM. They both accomplish pretty much the same thing. So, which one is fastest?
First of all, remember this? where I showed how django-mongokit sped past the SQL ORM like a lightning bullet. Well appears MongoEngine is even faster.
That's an average of 23% faster for all three operations!
- Previous:
- More on What is "pythonic"
22 May 2010
- Next:
- "Using MongoDB in your Django app - implications and benefits"
25 May 2010
- Related:
- Fastest database for Tornado
09 October 2013
- django-mongokit now compatible with Django 1.4
11 August 2012
- Persistent caching with fire-and-forget updates
14 December 2011
- Optimization story involving something silly I call "dict+"
13 June 2011
- Mocking DBRefs in Mongoose and nodeunit
14 April 2011
- How I made my MongoDB based web app 10 times faster
21 October 2010
- Correction: running Django tests with MongoDB is NOT slow
30 May 2010
- Speed test between django_mongokit and postgresql_psycopg2
09 March 2010
Can you provide the script source you used for this benchmark ? What version of MongoKit did you used ? I'd like to see what can I do to improve MongoKit speed.
N.
Unfortunately upgrading to the latest version of MongoKit that doesn't generate indexes every time didn't help. MongoEngine is still faster.
If you want use a django implementation of mongodb give a look to http://github.com/aparo/django-mongodb-engine the performance are the same of mongoengine if you the mongodb manager. But you work in the django way.