the mapping laer of an ORM made generic. per default, enforce schema on python objects and cast to/from JSON. Sound like it might go with textfile/SCM, MongoDB or CouchDB natively, and supposedly supports RDBMSs.

Using mongodb as an NTLK corpus store.

High performance array storage in Mongo

google's FOSS wave server is backed by mongodb

osx-native mongo gui

google analytics considered as inferior to mongodb for pageview tracking. (query API-wise, i agree. client-side, not so sure.)

queries syntax for filtering in-memory js arrays are probably useful for stuff.

when to use and not use DBrefs in mongo

asynchronous RESTish mongodb fun with the mongodb REST inteface. brought to you by python.

the sourceforge rebuild on a nosql db without the db being its own cache.

according to the pymongo folks, this django fork allows django to use mongo as a store for contrib apps. some folks like that.

lightweight JS-like dictionary attribute access on objects in python. Handy for, say, mongo<->django

Basic text search with relevancy for MongoDB.

"Mongo DBRefs are cool only when they are useful. They are useful only then you don't know the type of a referred object. If you know the type, using DBRef is unnecessary overhead..."
"A nice thing about DBRefs is recursion on DBRefs. Replies to the comments are as simple as any other comments to any object on the website..."

this series of 3 tutorials is the best intro i have found to the mongo-specific details of mapreduce

I enjoy his take on thinking about mapreduce - the direct comparison with traditional join/group aggregation

not that i will - it doesn't feel natural to make non django things try to be django.

another fucking ORM layer for mongo. this one is django-oriented

Sourceforge's mongodb wrapper is released. looks lighter than mongokit;

the lightest *useful* mongodb lib

its surprisingly annoying to find the export page for the mongo manual

apparently mongo + django is nearly seamless

mongodb seems to have perfunctory support for full-text indices, but it does look easily extensible. (or at least, you can extend it in an easy language without learning some weird vendor-specific SQL variant.)

One comparison to rule them all.

pluses and minuses of mongodb vs MySQL

"MongoDB is a high-performance, open source, schema-free document-oriented database. MongoDB is written in C++ and offers the following features:

Collection oriented storage - easy storage of object-style data
Dynamic queries
Full index support, including on inner objects
Query profiling
Replication and fail-over support
Efficient storage of binary data including large objects (e.g. videos)
Auto-sharding for cloud-level scalability (Q209)
A key goal of MongoDB is to bridge the gap between key/value stores (which are fast and highly scalable) and traditional RDBMS systems (which are deep in functionality)."

an indexed store of JSON objects that get deserialised into whatever client language you connect using. handy. looks faster and easier than couch