- 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 - Java Setup
- MongoDB - Java - Create Collection
- MongoDB - Java - Get Collection
- MongoDB - Java - Insert Document
- MongoDB - Java - Retrieve Documents
- MongoDB - Java - Update Document
- MongoDB - Java - Delete Document
- MongoDB - Java - Drop Collection
- MongoDB - Java - List Collections
MongoDB - PHP
- MongoDB - PHP Setup
- MongoDB - PHP - Create Collection
- MongoDB - PHP - Get Collection
- MongoDB - PHP - Insert Document
- MongoDB - PHP - Retrieve Documents
- MongoDB - PHP - Update Document
- MongoDB - PHP - Delete Document
- MongoDB - PHP - Drop Collection
- MongoDB - PHP - List Collections
MongoDB - Advanced
- 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 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 document database in which one collection holds different different documents. Number of fields, content and size of the document can be 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 should use MongoDB
- Document Oriented Storage : Data is stored in the form of JSON style documents
Index on any attribute
Replication & High Availability
Auto-Sharding
Rich Queries
Fast In-Place Updates
Professional Support By MongoDB
Where should use MongoDB?
Big Data
Content Management and Delivery
Mobile and Social Infrastructure
User Data Management
Data Hub