Working with MongoDB

Advantages of MongoDB over RDBMS (relational database management system).

Schema less − MongoDB is a document database in which one collection holds different documents. Number of fields, content and size of the document can differ from one document to another.
Structure of a single object is clear.
No complex joins.
Deep query-ability. MongoDB supports dynamic queries on documents using a document-based query language that’s nearly as powerful as SQL.
Ease of scale-out − MongoDB is easy to scale.
Conversion/mapping of application objects to database objects not needed.
Uses internal memory for storing the (windowed) working set, enabling faster access of data.

Why Use MongoDB?

Document Oriented Storage − Data is stored in the form of JSON style documents.
Index on any attribute
Replication and high availability
Rich queries
Fast in-place updates
Professional support by MongoDB

Where to Use MongoDB?

Big Data
Content Management and Delivery
Mobile and Social Infrastructure
User Data Management
Data Hub

Here is an example of a MongoDB query. As you can see, you call out an item and then fields can be whatever you want them to. Unlike MySQL there is complete freedom over item values.

   { item: "journal", qty: 25, size: { h: 14, w: 21, uom: "cm" }, status: "A" },
   { item: "notebook", qty: 50, size: { h: 8.5, w: 11, uom: "in" }, status: "A" },
   { item: "paper", qty: 100, size: { h: 8.5, w: 11, uom: "in" }, status: "D" },
   { item: "planner", qty: 75, size: { h: 22.85, w: 30, uom: "cm" }, status: "D" },
   { item: "postcard", qty: 45, size: { h: 10, w: 15.25, uom: "cm" }, status: "A" }