MongoDB Tutorial
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
- MongoDB is a popular technology for modern web development, particularly high-traffic websites and real-time analytics.
- It provides scalability through sharding and also supports high availability through replication.
- MongoDB can be easily paired with various programming languages such as JavaScript (Node.js), Python, Java and more.
- General corporations like eBay, Uber and Adobe use MongoDB while processing big, unstructured data.
- It offers greater flexibility and faster development time through its schema-less nature.
MongoDB Hello World Example
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.
// 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.
- Introduction to NoSQL
- Types of NoSQL Databases
- Introduction to MongoDB
- How MongoDB works?
- MongoDB vs RDBMS
- MongoDB vs MySQL
Installation and Setup
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.
- How to Install MongoDB on Windows?
- How to install MongoDB on MacOS?
- How to Install and Configure MongoDB in Ubuntu?
- How to Install MongoDB Compass on Windows
- How to Install MongoDB Atlas?
Basics of MongoDB
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.
- MongoDB - Database, Collection, and Document
- MongoDB Cursor
- DataTypes in MongoDB
- What is ObjectId in MongoDB
- What is a MongoDB Query?
- Introduction to JSON
- Introduction to BSON and Types
Tools and Interfaces
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 MongoDB
In 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.
- CRUD Operations in MongoDB
- MongoDB - Create Database
- MongoDB - Drop Database
- MongoDB - Create Collection
- MongoDB - Drop Collection
- Create Database using MongoDB Compass
- Create Database using MongoShell
Insert Operations
Update Operations
- MongoDB Update() Methods
- MongoDB UpdateOne() Methods
- MongoDB UpdateMany() Methods
- MongoDB replaceone() Methods
Delete Operations
- Delete Single Document Using MongoShell
- Delete Multiple Document Using MongoShell
- Delete Database using MongoShell
- MongoDB deleteone() Method
Query Operations
- Query on Embedded/Nested Documents
- Query an Array
- Query for Null or Missing Fields
- MongoDB Find() Method
- MongoDB FindOne() Method
- MongoDB FindAndModify() Method
- MongoDB FindOneAndDelete() Method
- MongoDB FindOneAndUpdate() Method
- MongoDB FindOneAndReplace() Method
- Query and Projection Operators
MongoDB Operators
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 Operators
- MongoDB â Comparison Query Operators
- MongoDB $cmp Operator
- MongoDB â Greater than Operator $gt
- MongoDB â Less than Operator $lt
- MongoDB â Equality Operator $eq
Logical Operators
- MongoDB â Logical Query Operators
- MongoDB AND operator ( $and )
- MongoDB OR operator ( $or )
- MongoDB NOT operator ( $not )
- MongoDB NOR operator ( $nor )
Arithmetic Operators
- MongoDB $add Operator
- MongoDB $subtract Operator
- MongoDB $multiply Operator
- MongoDB $divide Operator
- MongoDB $abs Operator
- MongoDB $floor Operator
Field Update Operators
- MongoDB â Field Update Operators
- MongoDB â Maximum operator ( $max )
- MongoDB â Minimum operator ( $min )
- MongoDB â Increment Operator ( $inc )
- MongoDB â Multiply Operator ($mul)
- MongoDB â Rename Operator ($rename)
Array Expression Operators
- MongoDB $isArray Operator
- MongoDB $size Operator
- MongoDB $arrayElemAt Operator
- MongoDB $concatArrays Operator
- MongoDB $reverseArray Operator
Array Update Operators
- MongoDB â $pull Operator
- MongoDB â $pop Operator
- MongoDB â $pullAll Operator
- MongoDB â $push Operator
- MongoDB â Positional Operator ($)
- MongoDB â All Positional Operator ($[])
String Expression Operators
- MongoDB $concat Operator
- MongoDB $strcasecmp Operator
- MongoDB $toUpper Operator
- MongoDB $toLower Operator
- $substrCP (aggregation) operator in MongoDB
Aggregation
Supercharge 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.
- MongoDB Aggregation
- Updates with Aggregation Pipeline
- Aggregation Pipeline Stages
- Aggregation Pipeline Optimization
- Aggregation Pipeline Limits
- Aggregation Commands
- MongoDB Aggregation $out
- mongodb aggregation $count
- MongoDB Aggregation $group
- mongodb aggregation $lookup
- mongodb aggregation $first
- Map-Reduce
Indexing
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.
- Create an Index
- Get an Index
- Drop an Index
- Index Types
- Single Field Indexes
- Compound Indexes
- Multikey Indexes
- Text Indexes
Transactions and Data Modeling
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.
- Transactions in MongoDB
- ACID Transactions in MongoDB
- Transactions in Mongoose
- Data Modeling
- MongoDB - Relationships
- Embedding Data in Documents
- Specify JSON Schema Validation
- Scaling in MongoDB
Replication and Sharding
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.
- MongoDB Replication
- MongoDB Sharding
- Change Streams
- Replica Set Members
- Replica Set Deployment
- Sharded Cluster Components
- Shard Keys
- Hashed Sharding
- Ranged Sharding
- Replica Set Read and Write Semantics
- Sharding Deployment Architectures
Security
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.
- How to Secure the MongoDB Database
- How to Enable Access Control & Authentication in MongoDB
- How to Enable Authentication on MongoDB
- Configure Role-Based Access Control in MongoDB
MongoDB Quiz & Interview
Prepare for MongoDB interviews with these commonly asked questions, covering core concepts like CRUD operations, indexing, aggregation, data modeling and more:
- MongoDB Exercises
- Top 50 MongoDB Interview Questions with Answers for 2025
- MongoDB Online Quiz â Test Your NoSQL Knowledge
- MongoDB Basics Quiz Questions
MongoDB Applications and Projects
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!
- Nodejs â Connect MongoDB with Node app using MongooseJS
- Signup Form Using Nodejs and MongoDB
- Login form using Node.js and MongoDB
- Connect Django Project to MongoDB using Django