- MongoDB Tutorial
- MongoDB - Home
- MongoDB - Overview
- MongoDB - Advantages
- MongoDB - Environment
- MongoDB - Data Modeling
- MongoDB - Create Database
- MongoDB - Drop Database
- MongoDB - Create Collection
- MongoDB - Drop Collection
- MongoDB - Data Types
- MongoDB - Insert Document
- MongoDB - Query Document
- MongoDB - Update Document
- MongoDB - Delete Document
- MongoDB - Projection
- MongoDB - Limiting Records
- MongoDB - Sorting Records
- MongoDB - Indexing
- MongoDB - Aggregation
- MongoDB - Replication
- MongoDB - Sharding
- MongoDB - Create Backup
- MongoDB - Deployment
- MongoDB - Java
- MongoDB - PHP
- Advanced MongoDB
- MongoDB - Relationships
- MongoDB - Database References
- MongoDB - Covered Queries
- MongoDB - Analyzing Queries
- MongoDB - Atomic Operations
- MongoDB - Advanced Indexing
- MongoDB - Indexing Limitations
- MongoDB - ObjectId
- MongoDB - Map Reduce
- MongoDB - Text Search
- MongoDB - Regular Expression
- Working with Rockmongo
- MongoDB - GridFS
- MongoDB - Capped Collections
- Auto-Increment Sequence
- MongoDB Useful Resources
- MongoDB - Questions and Answers
- MongoDB - Quick Guide
- MongoDB - Useful Resources
- MongoDB - Discussion
MongoDB - Advantages
Any relational database has a typical schema design that shows number of tables and the relationship between these tables. While in MongoDB, there is no concept of relationship.
Advantages of MongoDB over RDBMS
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.
Tuning.
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
Auto-Sharding
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