MongoDB, the No SQL database, offers easy scalability, high performance, and high availability. It also bridges the gap between traditional RDBMS systems.

MongoDB has relatively drawn massive attention due to document-oriented NoSQL features, distributed key-value store, and MapReduce calculation capability. Nevertheless, its development has been particularly done for Big Data processing.

MongoDB preserves as many functionalities as possible. It also allows horizontal scale and makes the works of developers much easier and elegant. As any other data store, this too requires maintenance, capacity planning, monitoring, and tuning. Moreover it is easy to install and start. It fits the mode of the developer more naturally as compared to a relational database.

Here are some points outlined to demonstrate top features of MongoDB development that are often overlooked.

  • Rich Data Structure

The basic unit of storage is comparable to JSON, Python dictionaries, Ruby hashes, etc. This is a rich data structure capable of holding arrays and documents. It can be represented as a single entity construct that requires several tables to properly represent in a relational database.

  • Deep Query Ability

It supports dynamic queries on documents using a document-based query language that’s nearly as powerful as SQL.

  • Prioritize Replica Set

MongoDB provides a replica set. There is only one Primary database that allows to write operation and multiple secondary servers for reading operations. A minimum of three servers is required for a replica set: Primary, Secondary and, Arbiter. Arbiter doesn’t store any data but decides which server will be the next primary server.

  • High Coding Velocity

MongoDB blends seamlessly with various programming languages like Python, JavaScript, and Ruby. The blending promises high coding velocity.