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There is a lot of data to store and search in the world today. From banking transactions to social media messaging, all of this data needs to be stored somewhere. This is where the database management system comes into play, which allows us to store and retrieve data efficiently. Moreover, among the countless database management systems available today, MongoDB is one of the open-source systems.

This system is known for providing numerous features to its users and also supports different types of data. It is a non-relational database technology that became popular in the mid-2000s.

History of MongoDB

The name MongoDB is derived from the word Humongous to support the concept of working with large amounts of data. It was not until 2009 that MongoDB was officially released as open-source software. Later in 2013, the company was renamed MongoDB Inc. Then, in October 2017, the company acquired a public stock with the symbol MDB. Since its release as an open-source database management system in 2009, it has become the top NoSQL database management system in the world.

Today it is used by Metlife, IBM, Twitter, Zendesk, Forbes, CERN Physics Laboratory, The New York Times, Google, and other leading companies.

Introduction to MongoDB

MongoDB is an open-source DBMS; It is a database management system that supports different types of data. Also, it is known for its high performance, scalability, and availability. Moreover, this system is built using the C ++ language and is also very different from relational databases. MongoDB is based on a document-based database model and is the most widely used NoSQL database in the world.

Using DOM helps with big data and other processing tasks, which is not a good relationship model. Unlike other relational databases that use tables and rows to store data, this system stores data in documents using the JSON structure. This is more flexible and easier. Here’s a look at some of the basics of MongoDB concepts.

MongoDB NoSQL database architecture

Let’s examine the MongoDB architecture and its functions. It revolves around axes, some of which are:

Documents

A record from the MongoDB collection can be named as a document. Documents contain all the names and values of the fields and are associated with dynamic patterns. Thanks to its dynamic structure, it is not necessary for a single set document to have the same fields.

Collection

it is a term used for the MongoDB document set. This term is equivalent to RDMS tables such as Oracle and MySQL. Multiple documents can be in each collection, and each document can contain different fields. Also, multiple collections can exist in one database.

Database

professionals refer to it as a collection container. Each database has its own set of files, and multiple databases can exist on one MongoDB server.

id_

This is the field required for each MongoDB document and represents a unique value. If you create a new document without the id_ field, MongoDB adds it automatically and it looks like a master key.

JSON

JavaScript Object Notation stands for Simple Text Format for Reading and Expressing Structured Data. In addition, many programming languages support JSON.

Fields

This represents a column of relational databases, and a document can contain one or more fields. This field is different from “id field_” because “id field_” is used to fully identify documents in a collection, while “field” may indicate a collection of data in a document.

In addition, in Mongo DB we can store data both offline and online. Offline data can be managed by Hadoop or Enterprise Data Warehouse (EWD). While online data is managed by MongoDB or RDBMS.

MongoDB platforms

Although it supports various operating systems, the recommended operating systems are:

• Amazon Linux
• Debian 8
• RHEL / CentOS 6.2+
• SLES 1.2
• Ubuntu LTS 16.04
• Windows Server 2012

Why use MongoDB?

AS we mentioned, MongoDB is a document-based database that allows you to store all information in a single document. It is very flexible and provides agility for the rapid development of your application. In addition, several relational database features such as indexing are available. Automatic protection is also provided in the event of a server failure.