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MongoDB Programmers

From housing customer relationship data, to sales and accounting, databases underwrite almost every area of business and organizational information. Two types of databases languages drive data usage, SQL and noSQL. The former works well for complex queries with predefined structures, though it is less dynamic. The later type, noSQL, came with demand for more dynamic data usage. In 2009, engineers created the flexible, non-schema database management system called MongoDB to produce documents, graphs, and key values. MongoDB allows your organization’s data needs to expand horizontally to include new forms of data gathering and new columns. As data grows larger, MongoDB can “shard” it into smaller data groups and reconfigure it into new forms. MongoDB allows the document store model, in which data objects are stored as separate documents inside a collection instead of storing the data into columns and rows of a traditional relational database. MongoDB enhances data usage and performance. It improves availability and allows automatic scaling. With Programmers.io helping your organization transitioning to MongoDB it installs and implements quickly. stored as JSON or BSON objects, which are compact, easily loaded and work well in browsers. General distributions of MongoDB support Windows, Linux, Mac OS X, and Solaris and are open-sourced.

Pros and Cons of MongoDB

Pros:

• Document oriented
• High performance
• High availability -Replication
• High scalability – Sharding
• Dynamic- No Rigid Schema
• Flexible – field addition/deletion have less or no impact on the application
• Heterogeneous Data
• No Joins
• Distributed
• Data Representation in JSON or BSON
• Geospatial support
• Easy Integration with big data Hadoop indexing
• Document-based query language nearly as powerful as SQL
• Cloud distributions such as AWS, Microsoft, RedHat,dotCloud and SoftLayer etc:
• Built for the cloud with horizontal scaling through sharding.

Cons:

• A downside of NoSQL is that most solutions are not as strong in ACID (Atomic, Consistency, Isolation, Durability) like relational database systems.
• Complex transaction
• No function or Stored Procedure exists where you can bind the logic

Good for:

• Ecommerce product catalog
• Blogs and Content Management
• Real-time analytics and high-speed logging, caching and high scalability
• Configuration Management
• Maintain location based data – Geospatial data
• Mobile and Social networking sites
• Evolving data requirements
• Loosely coupled objectives – the design may change by over time