Last Updated : 23 Jul, 2025
MongoDB is an open source, document-oriented, NoSql database whose data is stored in an organized format. It is scalable and easy to learn, commonly used in modern web and mobile apps, dealing with high volumes of data. MongoDB stores data in BSON format, which lets you store JSON like documents efficiently.
This architecture is very well adapted to unstructured or semi-structured data. MongoDB is a great choice to use in applications where you need to support a dynamic schema designs. MongoDB is open-source and is available for free in Linux, Windows, and macOS systems.
This MongoDB tutorial is designed for both beginners and experienced professionals and it covers basic to advanced MongoDB topics. Before starting MongoDB, some prerequisite knowledge of Databases, Frontend development, Text editor and execution of programs, etc would be beneficial in upcoming discussion.
Why Learn MongoDB?Developers use MongoDB because it offers a lot of features for those who like to work with big data. Here are few key reasons of why you should learn MongoDB
The first step to start with MongoDB is to Insert a simple document into a database using MongoDB's Node.js driver. This example shows you have MongoDB installed and running locally.
XML
// MongoDB Hello World Program
const { MongoClient } = require('mongodb');
// Connection URL
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
async function run() {
try {
// Connect to the MongoDB server
await client.connect();
// Choose the database
const db = client.db('testdb');
// Choose the collection
const collection = db.collection('users');
// Insert a document
const result = await collection.insertOne({ name: "John Doe", age: 30 });
console.log(`Document inserted with _id: ${result.insertedId}`);
} finally {
// Close the connection
await client.close();
}
}
run().catch(console.error);
Output:
Document inserted with _id: [ObjectId]Introduction to MongoDB
In this section you will explore the core concepts, functionalities, and advantages over traditional relational databases. Unleash the potential of flexible data modeling for modern applications.
Here in this section you will learn how to setting up MongoDB, a powerful NoSQL database. Here you will get a full details on installation process and essential configuration steps to get your MongoDB on various OS. Follow along to establish a strong foundation for your MongoDB applications.
This section of MongoDB tutorial breaks down core concepts like documents, collections, and queries. We'll explore how MongoDB stores and retrieves data, empowering you to harness its flexibility for modern application development.
Navigating and managing your MongoDB data is a breeze with its diverse toolkit. So, here in this section, you will explore the official interfaces like MongoDB Compass and the command-line shell, empowering you to interact with your database effectively. This section equips you with the tools to unleash MongoDB's potential.
CRUD Operations in MongoDBIn this section we will explores CRUD operations, Create, Read, Update, and Delete. Learn how to effectively insert, retrieve, modify, and remove documents within your MongoDB collections. This empowers you to manage your database with precision.
MongoDB operators are like magic wands for your data! Throug this section we will let you into these operators that let you filter, sort, and transform your documents with ease. Grasp these tools to craft powerful queries, unleashing the true potential of your MongoDB database.
Comparison OperatorsSupercharge your data analysis with MongoDB Aggregation! This section delves into crafting powerful pipelines that transform and summarize your collections. Learn to group documents, calculate values, and uncover hidden insights within your MongoDB data.
This section delves into creating and leveraging indexes, specialized data structures that significantly improve retrieval efficiency. Learn how to identify ideal fields for indexing and optimize your database performance for faster results.
MongoDB offers flexibility with its document model, but transactions come into play for ensuring data consistency across multiple updates. This section clarifies when to leverage MongoDB's atomic writes on single documents and dives into multi-document transactions for complex operations. We'll guide you on optimizing your data model for both efficiency and data integrity.
This section delves into replication and sharding, two techniques for boosting performance and ensuring data availability. Learn how to create fault-tolerant backups and distribute data across multiple servers for a scalable and resilient MongoDB deployment.
This section tackles the essential security measures to safeguard your database. We'll delve into access control, encryption strategies, and auditing practices to fortify your MongoDB environment and ensure data confidentiality. Follow these best practices to build a robust security posture for your MongoDB deployments.
Prepare for MongoDB interviews with these commonly asked questions, covering core concepts like CRUD operations, indexing, aggregation, data modeling and more:
Dive into the exciting world of what you can build with MongoDB! We'll showcase real-world applications that leverage MongoDB's flexibility and explore project ideas to ignite your development journey. Get inspired to create scalable and dynamic applications with MongoDB!
MongoDB is a leading NoSQL database with growing demand across industries. It offers career opportunities in data management, cloud systems, and application development, with roles such as backend developers, cloud engineers, and database administrators.
Career Average Salary (INR) Average Salary (USD) MongoDB Developer ₹7,00,000 – ₹18,00,000 $70,000 – $130,000 Database Administrator (DBA) ₹6,00,000 – ₹15,00,000 $65,000 – $120,000 Full Stack Developer ₹8,00,000 – ₹20,00,000 $80,000 – $150,000 Backend Engineer ₹8,50,000 – ₹22,00,000 $90,000 – $160,000 Data Engineer ₹10,00,000 – ₹25,00,000 $100,000 – $180,000 Cloud Engineer ₹12,00,000 – ₹30,00,000 $110,000 – $200,000 Software Engineer ₹7,50,000 – ₹18,00,000 $75,000 – $130,000 Solutions Architect ₹15,00,000 – ₹40,00,000 $150,000 – $250,000 DevOps Engineer ₹10,00,000 – ₹20,00,000 $100,000 – $150,000 MongoDB Consultant ₹12,00,000 – ₹30,00,000 $110,000 – $200,000 List of Companies using MongoDBThese are some Popular companies that use MongoDB in their workflow:
Company Name MongoDB Implementation eBay Utilizes MongoDB for search suggestions and internal cloud management. Adobe Uses MongoDB for scalable data storage in creative cloud applications. Uber Integrates MongoDB to manage real-time geolocation and ride data. Verizon Adopts MongoDB for high-performance data handling in telecommunications. MetLife Uses MongoDB to build a 360-degree customer view in its "The Wall" application. Forbes Employs MongoDB for content management and real-time analytics. Shutterfly Utilizes MongoDB to store and manage billions of photos for its users. Codecademy Integrates MongoDB to handle user progress and course data efficiently. CERN Uses MongoDB in the Large Hadron Collider for data aggregation purposes. Foursquare Uses MongoDB on AWS to manage location data and user check-ins.RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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