The collection of system components that contain groups of data that are regulated is called data storage. Management of data that consists of software, hardware, and techniques of handling the database is called a database environment. Data storage is the key element for the present technological advancements. Storage plays an important role in computing platforms. In this article, we are going to all about What is MongoDB.
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MongoDB is a cross-platform, open-source NoSQL database, i.e., document-oriented which is programmed in C++ to provide automatic scaling with high performance and availability.
In the MongoDB data model, it is easy to split data among several servers. It automatically redistributes documents, balances data, and loads a cluster, and routes the user requests to the right machine. The following is an example of a MongoDB structure in BSON format.
Sample MongoDB document Structure 1: // class
{
title: ‘MongoDB’, // declarations
by: ‘Vaishnavi Putcha’,
url: ‘https://www.mindmajix.com’,
type: ‘BSON format’
}
The following are the components of MongoDB architecture:
It is also called the physical container for data. Every database has its own set of files existing on the file system. In a single MongoDB server, there are multiple databases present.
The collection consists of various documents from different fields. All the collections reside within one database. In collections no schemas are present.
The set of key values are assigned to the document which is in turn associated with dynamic schemas. The benefit of using these schemas is that a document may not have to possess the same fields whereas they can have different data types.
A NoSQL database is similar to any other database which doesn’t follow the traditional relational model provided by RDBMS. That is, in NoSQL databases the data is not stored in tabular form i.e, rows and columns. The data is stored in the form of graphs with vertices and edges, and JSON documents
According to the latest survey conducted by Gartner and DB-Engines rankings, MongoDB stands on top among all the NoSQL database products with more than 10 million downloads and thousands of deployments.
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The following are the differences between MongoDB and Relational DBMS
MongoDB | RDBMS |
The collection contains documents that constitute fields. | The table contains the columns and rows to store the data. |
In MongoDB, the data is stored in the form of documents. | The row represents a single structured data item. |
The columns are known as fields | The column represents a set of data. |
Data is generally stored in a single cluster but in separate documents. | Sometimes in RDBMS data is spread across several tables to represent a complete view |
There is no concept of joins | Joins sometimes form across tables to obtain the data. |
It is flexible and data normalization first. | It requires data to be normalized first |
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The following example shows the method to model a document in MongoDB:
{
_id : <ObjectId>,
CustomerName : Mindmajix
Order :
{
OrderID: 14334
Product : Iphone Max
Quantity : 3
}
}
Conclusion
MongoDB is the most popular among the other NoSQL type of databases. All the big data applications make use of MongoDB as a default database. The future of MongoDB is bright and professionals possessing MongoDB skills are preferred in the IT market. The demand for MongoDB is going to increase in the near future.
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Vaishnavi Putcha was born and brought up in Hyderabad. She works for Mindmajix e-learning website and is passionate about writing blogs and articles on new technologies such as Artificial intelligence, cryptography, Data science, and innovations in software and, so, took up a profession as a Content contributor at Mindmajix. She holds a Master's degree in Computer Science from VITS. Follow her on LinkedIn.