MongoDB is one of the most popular NoSQL platforms available in the market. It is versatile as it allows for the storage of various data types and provides a robust structure along with a wide range of functionality. Install MongoDB on any operating system to get the maximum out of the tool.
Node JS is a popular javascript framework that provides high speed to application developers. The developers that use Node JS to create applications, prefer using NoSQL databases to store all the data during development. This is because NoSQL databases are scalable and provide high speeds that can keep up with the Node JS application.
This article gives steps to NPM Install MongoDB on various operating systems.
Table of Contents
What is MongoDB?
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MongoDB is a popular Schema-less, NoSQL database that was developed by MongoDB INC. It is based on C++ and supports Javascript efficiently as some part of it is also coded in the same. This allows for higher connectivity options. It uses a collection of documents to store the data but has a provision to use schemas as well. MongoDB doesn’t follow the traditional structure of a database which stores data in form of rows.
RDBMS is known for its ease of use, the same is the case with MongoDB. MongoDB is a platform that follows NoSQL architecture, which makes it a go-to choice for people with less to no prior knowledge of SQL. MongoDB uses the semi-structured format of data, which allows it to process huge amounts of data in a single execution. It is also compatible with cloud platforms like Google’s Cloud, Microsoft Azure, or even Amazon’s Web Services.
MongoDB is based on Binary JSON and MQL. It acts as an alternative to SQL. Binary JSON allows the usage of data types like floating-point, long, date, and many more which are not supported by vanilla JSON. MQL also provides additional capabilities when compared to regular SQL helping MongoDB process JSON-type documents.
Key Features of MongoDB
MongoDB hosts a wide range of services that provide a great solution compared to other databases. Some of these features are:
- MongoDB enables you to search by field, range the queries, and regular expressions. This adds support for ad hoc queries.
- MongoDB is written in C++ and follows a schema-less architecture and provides high performance.
- Any field in the document can be indexed to support master-slave replication.
- MongoDB enables you to group similar types of data present in the database using autoload configuration.
- You can easily save files of any size without complicating the stack and manage them in the event of a failure.
- Use JavaScript instead of procedures.
- MongoDB also supports JSON data models, automated sharding, and embedded replication for high scalability and availability.
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How to Install MongoDB Node JS?
There are three main operating systems used extensively namely Ubuntu, Windows, and Mac. In this section, we will look at the detailed steps to install MongoDB NodeJS on each OS.
1. Ubuntu
Prerequisites
The main components required are
- Ubuntu 16 or more
- MongoDB v3+
- NodeJS v6.11+
- The MongoDB NodeJS driver
How to Install NodeJS on Ubuntu?
- Install Node JS on ubuntu and run the following commands.
$ sudo apt-get install curl python-software-properties
$ curl -sL https://deb.nodesource.com/setup_12.x | sudo -E bash -
- These steps successfully added Node JS PPA into Ubuntu
- The command below can be used to install Node JS and NPM with Node JS. The other dependent packages will also be installed.
$ sudo apt-get install nodejs
- The following command can be used to verify the version after installation.
$ node -v
- And also check the npm version
$ npm -v
- After you execute the above command, Node jS is successfully installed on your system. Now you can test your node.js by creating Hello World text.
- Create a file with servertext.js and write the following code in it.
var http = require('http');
http.createServer(function (req, res) {
res.writeHead(200, {'Content-Type': 'text/plain'});
res.end('Hello Worldn');
}).listen(4000, "127.0.0.1");
console.log('Server running at http://127.0.0.1:4000/');
How to Install MongoDB on Ubuntu?
To install MongoDB on Ubuntu, run the following command.
npm install mongodb
Where to begin for Node JS MongoDB?
- After installing NodeJs, install NPM MongoDB.
npm install mongodb
- Get access to MongoDB that creates Database NodeJS by installing the driver.
- NPM MongoDB is only supported for 64-bit LTS Ubuntu versions. some examples of supported Ubuntu versions are 16.04 LTS (xenial), 14.04 LTS (trusty), 18.04 LTS (bionic), and so on.
How to Install MongoDB NodeJS on Ubuntu?
- Keys are required by the Ubuntu package manager advanced package tool. This key ensures in authenticity and consistency of the Install MongoDB NPM package.
- Execute the following command to import Node JS MongoDB keys to your server and get MongoDB to create database Ubuntu.
$ sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 68818C72E52529D4
- The following command can be used to create a source list for Node JS MongoDB.
$ sudo echo "deb http://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list
- The repository of the NodeJS MongoDB server needs to be updated with the following apt command.
$ sudo apt-get update
- MongoDB Install NodeJS on Ubuntu can be done using the following command.
$ sudo apt-get install -y mongodb-org
- Now start MongoDB NodeJS. Then, add MongoDB NodeJS as a service and it starts when the system boots.
$ sudo systemctl start mongodb
$ sudo systemctl enable mongodb
$ sudo systemctl stop mongodb
- Now check your MongoDB version using the following command and get MongoDB to create Database Ubuntu.
$ mongod --version
2. Windows
How to Install Node JS on Windows?
Image Source: Self
- Select LTS which is recommended for most users.
- Download the file and after the downloading is complete, open the file and click next.
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- Accept all the terms and click on next.
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- choose the destination folder wherever you want, then just click next.
- On the next page, you just have to click next again.
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- Click on the check box. This will start the process of installing chocolatey automatically which would be used to install MongoDB.
- Then just click next and click Install. It will need a couple of seconds to install the program on your windows. And then you can click finish and a power shell will appear on your screen to run the chocolatey installation.
- To ensure the node js installation is successful and also verify the version of windows installed on your system, open the command prompt on your windows. This can be done by searching ‘CMD’ on your windows and clicking run as administrator.
Image Source: Self
- Write the command line below
- The version of the windows will appear on your command prompt.
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- To test if the runtime is working you can write “node” and write some expressions as shown below.
Image Source: Self
How to Install MongoDB on Windows?
- We will use the Chocolatey tool to install MongoDB.
- open the command prompt from your windows and run as administrator. Then write the following command line
- If the installation is a success, you can check with the following command line
output:
Image Source: Self
How to install express JS on Windows?
use the following commands on the command line
Npm init
Npm install express
3. macOS
Prerequisites
MacPorts installed in the system
How to Install NodeJS on macOS?
- Open the MacPorts command line
- enter the command given below to Install Node JS
$ brew install node
How to Install MongoDB on macOS?
- Use the commands below to install MongoDB.
$ brew install mongodb
or
$ sudo port install mongodb
How to connect Node JS to MongoDB on macOS?
- One more driver is required to connect NodeJS to MongoDB.
$ npm install mongodb
This process ensures that both the platforms are connected and installed on macOS.
Conclusion
MongoDB is a popular NoSQL database with high-level functionality when compared to other applications. This article gave a guide on MongoDB and the steps to Install MongoDB on different operating systems.
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Arsalan is a data science enthusiast with a keen interest towards data analysis and architecture and is interested in writing highly technical content. He has experience writing around 100 articles on various topics related to data industry.