Chapter 1. Introduction
MongoDB is a powerful, flexible, and scalable data store. It combines the ability to scale out with many of the most useful features of relational databases, such as secondary indexes, range queries, and sorting. MongoDB is also incredibly featureful: it has tons of useful features such as built-in support for MapReduce-style aggregation and geospatial indexes.
There is no point in creating a great technology if it’s impossible to work with, so a lot of effort has been put into making MongoDB easy to get started with and a pleasure to use. MongoDB has a developer-friendly data model, administrator-friendly configuration options, and natural-feeling language APIs presented by drivers and the database shell. MongoDB tries to get out of your way, letting you program instead of worrying about storing data.
A Rich Data Model
MongoDB is a document-oriented database, not a relational one. The primary reason for moving away from the relational model is to make scaling out easier, but there are some other advantages as well.
The basic idea is to replace the concept of a “row” with a more flexible model, the “document.” By allowing embedded documents and arrays, the document-oriented approach makes it possible to represent complex hierarchical relationships with a single record. This fits very naturally into the way developers in modern object-oriented languages think about their data.
MongoDB is also schema-free: a document’s keys are not predefined or fixed in any way. ...
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