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What is MongoDB Database?

MogoDB is an opensource document oriented database. Again it is leading noSQL database. MongoDB provides the cross platform support. It is distributed under Apache open source license. For storing the data it uses the json like schema with dynamic schem

Major advantage of the MongoDB is the ability to handle very large amount of data which most SQL based Databases fails to realize. MongoDB provides the Sharding which is the process of storing the data across different servers to support the very large size of the data. Even with large amount of data it still provides the acceptable read and write throughput.

MongoDB is a popular open-source NoSQL (non-relational) database management system. It is designed to store and manage unstructured and semi-structured data in a scalable and flexible manner.

Why go for MongoDB?

Mongodb is the perfect database for creating modern MVC style apps or RESTful APIs.
As data is stored in document form it allows developers the ability to retrieve full responses and pipe them out as JSON without requiring additional queries, joins or data manipulation
The ability to store data in a schemaless structure ensures developers greater flexibility in how the data is managed.
MongoDB is a document-oriented database, which means it stores data in flexible, JSON-like documents known as BSON (Binary JSON).
MongoDB is built to scale horizontally, allowing you to distribute data across multiple servers or clusters.
MongoDB does not enforce a rigid schema on the data, offering schema flexibility.
MongoDB provides a powerful and expressive query language that supports rich queries on document data.
MongoDB supports replica sets for data redundancy and high availability.
MongoDB offers configurable levels of data consistency. By default, it provides strong consistency on reads and writes within a single document.
MongoDB allows ad hoc queries on data, enabling flexible and iterative development.
MongoDB provides a powerful aggregation framework that allows complex data transformations, grouping, filtering, and calculations on data within the database.
MongoDB offers support for geospatial indexing and querying, making it suitable for location-based applications.

The MongoDB database can hold collections of documents with each document having its own size, content, and number of fields.
MongoDB is especially useful with cloud computing day
MongoDB provides GridFS, a specification for storing and retrieving large files (e.g., images, videos, documents) in the database.
Integration and Ecosystem: MongoDB integrates well with various programming languages and frameworks.
The web applications being built for this particular MongoDB guide is an RSS aggregator like Google Reader. The web applications will have two key components: A REST API and a Feed grabber.

Why MongoDB?

Store large volumes of data that often have little to no structure. Make the most of cloud computing and storage. With MongoDB, it’s easy to spread data out across commodity hardware on-site or in the cloud without needing additional software.

Location-based data analytics and operations. Get real-time data reporting and analytics.

MongoDB is commonly used in a range of applications, including content management systems, real-time analytics, Internet of Things (IoT), mobile applications, and many others where flexibility, scalability, and fast development are required.