#194 MongoDB and MongoMapper.
MongoDb Architecture. NOSQL has become a very heated topic for large web-scale deployment where scalability and semi-structured data driven the DB requirement towards NOSQL.
There has been many NOSQL products evolving in over last couple years. In my past blogs, I have been covering the underlying distributed system theory of NOSQL, as well as some specific products such as CouchDB and Cassandra/HBase. Last Friday I was very lucky to meet with Jared Rosoff from 10gen in a technical conference and have a discussion about the technical architecture of MongoDb. I found the information is very useful and want to share with more people. One thing I am very impressed by MongoDb is that it is extremely easy to use and the underlying architecture is also very easy to understand. Data Modeling Considerations for MongoDB Applications. Data Models¶ Data in MongoDB has a flexible schema.
Collections do not enforce document structure. This flexibility gives you data-modeling choices to match your application and its performance requirements. Read the Data Modeling Introduction document for a high level introduction to data modeling, and proceed to the documents in the Data Modeling Concepts section for additional documentation of the data model design process.