Top Related Projects
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
MongoDB object modeling designed to work in an asynchronous environment.
Quick Overview
The mongodb/node-mongodb-native repository is the official MongoDB driver for Node.js. It provides a high-performance interface for Node.js applications to interact with MongoDB databases, allowing developers to perform CRUD operations, manage indexes, and execute aggregation pipelines.
Pros
- Native Node.js implementation for optimal performance
- Comprehensive support for MongoDB features and operations
- Well-maintained and regularly updated
- Extensive documentation and community support
Cons
- Steep learning curve for beginners
- Complex API for advanced operations
- Occasional breaking changes between major versions
- Asynchronous nature can be challenging for some developers
Code Examples
- Connecting to MongoDB and inserting a document:
const { MongoClient } = require('mongodb');
async function main() {
const uri = 'mongodb://localhost:27017';
const client = new MongoClient(uri);
try {
await client.connect();
const database = client.db('myDatabase');
const collection = database.collection('users');
const result = await collection.insertOne({ name: 'John Doe', age: 30 });
console.log(`Inserted document with _id: ${result.insertedId}`);
} finally {
await client.close();
}
}
main().catch(console.error);
- Querying documents:
const { MongoClient } = require('mongodb');
async function findUsers(ageThreshold) {
const uri = 'mongodb://localhost:27017';
const client = new MongoClient(uri);
try {
await client.connect();
const database = client.db('myDatabase');
const collection = database.collection('users');
const query = { age: { $gt: ageThreshold } };
const cursor = collection.find(query);
await cursor.forEach(doc => {
console.log(`Name: ${doc.name}, Age: ${doc.age}`);
});
} finally {
await client.close();
}
}
findUsers(25).catch(console.error);
- Updating documents:
const { MongoClient } = require('mongodb');
async function updateUserAge(name, newAge) {
const uri = 'mongodb://localhost:27017';
const client = new MongoClient(uri);
try {
await client.connect();
const database = client.db('myDatabase');
const collection = database.collection('users');
const filter = { name: name };
const updateDoc = { $set: { age: newAge } };
const result = await collection.updateOne(filter, updateDoc);
console.log(`${result.matchedCount} document(s) matched the filter, updated ${result.modifiedCount} document(s)`);
} finally {
await client.close();
}
}
updateUserAge('John Doe', 31).catch(console.error);
Getting Started
To use the MongoDB Node.js driver in your project:
-
Install the driver using npm:
npm install mongodb
-
Import the MongoClient in your JavaScript file:
const { MongoClient } = require('mongodb');
-
Connect to your MongoDB instance:
const uri = 'mongodb://localhost:27017'; const client = new MongoClient(uri); async function connect() { try { await client.connect(); console.log('Connected to MongoDB'); } catch (error) { console.error('Error connecting to MongoDB:', error); } } connect();
-
Start using the driver to interact with your MongoDB databases and collections.
Competitor Comparisons
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
Pros of TypeScript
- Provides static typing and enhanced tooling support for JavaScript development
- Offers broader language features and ecosystem beyond database operations
- Supports development across various domains, not limited to database interactions
Cons of TypeScript
- Requires compilation step before execution, adding complexity to the build process
- Has a steeper learning curve for developers new to static typing in JavaScript
- May introduce additional overhead in small projects or quick prototypes
Code Comparison
TypeScript:
interface User {
name: string;
age: number;
}
function greetUser(user: User): string {
return `Hello, ${user.name}!`;
}
Node MongoDB Native:
const { MongoClient } = require('mongodb');
async function findUser(name) {
const client = await MongoClient.connect(url);
const user = await client.db().collection('users').findOne({ name });
return user;
}
Summary
TypeScript is a superset of JavaScript that adds optional static typing and other features, while Node MongoDB Native is a driver for MongoDB interactions in Node.js. TypeScript offers broader language support and type safety, but may add complexity to projects. Node MongoDB Native provides specific functionality for MongoDB operations without additional language features.
ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
Pros of TypeORM
- Supports multiple databases (SQL and NoSQL) with a unified API
- Provides powerful ORM features like relations, inheritance, and migrations
- Offers both Active Record and Data Mapper patterns
Cons of TypeORM
- Steeper learning curve due to more complex features and abstractions
- May introduce performance overhead for simple database operations
- Less specialized for MongoDB-specific features and optimizations
Code Comparison
TypeORM:
@Entity()
class User {
@PrimaryGeneratedColumn()
id: number;
@Column()
name: string;
}
node-mongodb-native:
const user = {
name: "John Doe"
};
await collection.insertOne(user);
TypeORM provides a more structured, object-oriented approach with decorators for defining entities and their properties. node-mongodb-native offers a simpler, more direct way to interact with MongoDB, using plain JavaScript objects.
TypeORM's abstraction allows for easier switching between different databases and provides more advanced features out of the box. However, node-mongodb-native offers a more lightweight and MongoDB-specific solution, which may be preferable for projects exclusively using MongoDB and requiring fine-grained control over database operations.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Pros of Prisma
- Type-safe database access with auto-generated TypeScript types
- Intuitive and powerful query API with automatic joins and relations
- Database schema migrations and versioning built-in
Cons of Prisma
- Steeper learning curve for developers familiar with raw SQL or ODMs
- Less flexibility for complex custom queries compared to native drivers
- Limited support for some advanced database features
Code Comparison
Prisma query:
const users = await prisma.user.findMany({
where: { age: { gte: 18 } },
include: { posts: true }
})
Node MongoDB Native query:
const users = await db.collection('users').aggregate([
{ $match: { age: { $gte: 18 } } },
{ $lookup: { from: 'posts', localField: '_id', foreignField: 'userId', as: 'posts' } }
]).toArray()
Summary
Prisma offers a more developer-friendly experience with type safety and an intuitive API, while Node MongoDB Native provides greater flexibility and direct access to MongoDB features. Prisma simplifies complex queries and relationships but may have limitations for advanced use cases. Node MongoDB Native requires more manual work but offers full control over database operations.
Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
Pros of Sequelize
- Provides an ORM (Object-Relational Mapping) for SQL databases, offering a more structured and object-oriented approach to database interactions
- Supports multiple SQL databases (MySQL, PostgreSQL, SQLite, etc.) with a unified API, allowing easier database switching
- Offers built-in data validation, associations, and migrations, simplifying complex database operations
Cons of Sequelize
- Steeper learning curve compared to the more straightforward MongoDB native driver
- May introduce performance overhead due to the ORM layer, especially for complex queries
- Limited support for NoSQL-specific features and query patterns
Code Comparison
Sequelize (SQL ORM):
const User = sequelize.define('User', {
name: Sequelize.STRING,
email: Sequelize.STRING
});
await User.create({ name: 'John', email: 'john@example.com' });
Node MongoDB Native Driver:
const collection = db.collection('users');
await collection.insertOne({ name: 'John', email: 'john@example.com' });
Summary
Sequelize is an ORM for SQL databases, offering structured data modeling and multi-database support. It provides powerful features like associations and migrations but may have a steeper learning curve. The MongoDB native driver offers a more direct and flexible approach to working with MongoDB, with potentially better performance for NoSQL-specific operations. The choice between them depends on the specific database requirements and development preferences of the project.
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
Pros of Knex
- Supports multiple database systems (PostgreSQL, MySQL, SQLite3, etc.)
- Provides a powerful query builder with a chainable API
- Offers built-in migration and seeding tools
Cons of Knex
- Steeper learning curve for developers new to SQL or ORMs
- Less flexibility for complex NoSQL operations compared to MongoDB
- Requires more setup and configuration for each database type
Code Comparison
Knex query:
knex('users')
.where('age', '>', 18)
.orderBy('name')
.limit(10)
.select('id', 'name', 'email')
Node MongoDB Native query:
db.collection('users')
.find({ age: { $gt: 18 } })
.sort({ name: 1 })
.limit(10)
.project({ id: 1, name: 1, email: 1 })
Key Differences
- Knex uses a SQL-like syntax, while Node MongoDB Native uses MongoDB's query language
- Knex supports transactions across multiple tables, which is not directly applicable to MongoDB
- Node MongoDB Native offers more flexibility for complex document structures and nested queries
- Knex provides a unified API for different SQL databases, while Node MongoDB Native is specific to MongoDB
Use Cases
- Choose Knex for projects requiring SQL databases or when working with multiple database types
- Opt for Node MongoDB Native when building applications that leverage MongoDB's document-oriented structure and flexibility
MongoDB object modeling designed to work in an asynchronous environment.
Pros of Mongoose
- Provides a schema-based solution for modeling application data
- Offers built-in type casting, validation, query building, and business logic hooks
- Simplifies the process of working with MongoDB through its abstraction layer
Cons of Mongoose
- Adds an extra layer of complexity, which may impact performance for simple operations
- Less flexible than the native driver for certain advanced MongoDB features
- Learning curve for developers new to ODMs (Object-Document Mappers)
Code Comparison
Mongoose:
const userSchema = new mongoose.Schema({
name: String,
email: { type: String, required: true },
age: Number
});
const User = mongoose.model('User', userSchema);
await User.create({ name: 'John', email: 'john@example.com', age: 30 });
Node MongoDB Native:
const collection = db.collection('users');
await collection.insertOne({ name: 'John', email: 'john@example.com', age: 30 });
Mongoose provides a more structured approach with schemas and models, while the native driver offers a more direct interaction with MongoDB. The choice between them depends on project requirements, team expertise, and performance considerations.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual CopilotREADME
MongoDB Node.js Driver
The official MongoDB driver for Node.js.
Upgrading to version 6? Take a look at our upgrade guide here!
Quick Links
Site | Link |
---|---|
Documentation | www.mongodb.com/docs/drivers/node |
API Docs | mongodb.github.io/node-mongodb-native |
npm package | www.npmjs.com/package/mongodb |
MongoDB | www.mongodb.com |
MongoDB University | learn.mongodb.com |
MongoDB Developer Center | www.mongodb.com/developer |
Stack Overflow | stackoverflow.com |
Source Code | github.com/mongodb/node-mongodb-native |
Upgrade to v6 | etc/notes/CHANGES_6.0.0.md |
Contributing | CONTRIBUTING.md |
Changelog | HISTORY.md |
Release Integrity
Releases are created automatically and signed using the Node team's GPG key. This applies to the git tag as well as all release packages provided as part of a GitHub release. To verify the provided packages, download the key and import it using gpg:
gpg --import node-driver.asc
The GitHub release contains a detached signature file for the NPM package (named
mongodb-X.Y.Z.tgz.sig
).
The following command returns the link npm package.
npm view mongodb@vX.Y.Z dist.tarball
Using the result of the above command, a curl
command can return the official npm package for the release.
To verify the integrity of the downloaded package, run the following command:
gpg --verify mongodb-X.Y.Z.tgz.sig mongodb-X.Y.Z.tgz
[!Note] No verification is done when using npm to install the package. The contents of the Github tarball and npm's tarball are identical.
Bugs / Feature Requests
Think youâve found a bug? Want to see a new feature in node-mongodb-native
? Please open a
case in our issue management tool, JIRA:
- Create an account and login jira.mongodb.org.
- Navigate to the NODE project jira.mongodb.org/browse/NODE.
- Click Create Issue - Please provide as much information as possible about the issue type and how to reproduce it.
Bug reports in JIRA for all driver projects (i.e. NODE, PYTHON, CSHARP, JAVA) and the Core Server (i.e. SERVER) project are public.
Support / Feedback
For issues with, questions about, or feedback for the Node.js driver, please look into our support channels. Please do not email any of the driver developers directly with issues or questions - you're more likely to get an answer on the MongoDB Community Forums.
Change Log
Change history can be found in HISTORY.md
.
Compatibility
The driver currently supports 3.6+ servers.
** 3.6 support is deprecated and support will be removed in a future version **
For exhaustive server and runtime version compatibility matrices, please refer to the following links:
Component Support Matrix
The following table describes add-on component version compatibility for the Node.js driver. Only packages with versions in these supported ranges are stable when used in combination.
Component | mongodb@3.x | mongodb@4.x | mongodb@5.x | mongodb@6.x |
---|---|---|---|---|
bson | ^1.0.0 | ^4.0.0 | ^5.0.0 | ^6.0.0 |
bson-ext | ^1.0.0 || ^2.0.0 | ^4.0.0 | N/A | N/A |
kerberos | ^1.0.0 | ^1.0.0 || ^2.0.0 | ^1.0.0 || ^2.0.0 | ^2.0.1 |
mongodb-client-encryption | ^1.0.0 | ^1.0.0 || ^2.0.0 | ^2.3.0 | ^6.0.0 |
mongodb-legacy | N/A | ^4.0.0 | ^5.0.0 | ^6.0.0 |
@mongodb-js/zstd | N/A | ^1.0.0 | ^1.0.0 | ^1.1.0 |
Typescript Version
We recommend using the latest version of typescript, however we currently ensure the driver's public types compile against typescript@4.4.0
.
This is the lowest typescript version guaranteed to work with our driver: older versions may or may not work - use at your own risk.
Since typescript does not restrict breaking changes to major versions, we consider this support best effort.
If you run into any unexpected compiler failures against our supported TypeScript versions, please let us know by filing an issue on our JIRA.
Installation
The recommended way to get started using the Node.js 5.x driver is by using the npm
(Node Package Manager) to install the dependency in your project.
After you've created your own project using npm init
, you can run:
npm install mongodb
# or ...
yarn add mongodb
This will download the MongoDB driver and add a dependency entry in your package.json
file.
If you are a Typescript user, you will need the Node.js type definitions to use the driver's definitions:
npm install -D @types/node
Driver Extensions
The MongoDB driver can optionally be enhanced by the following feature packages:
Maintained by MongoDB:
- Zstd network compression - @mongodb-js/zstd
- MongoDB field level and queryable encryption - mongodb-client-encryption
- GSSAPI / SSPI / Kerberos authentication - kerberos
Some of these packages include native C++ extensions. Consult the trouble shooting guide here if you run into compilation issues.
Third party:
- Snappy network compression - snappy
- AWS authentication - @aws-sdk/credential-providers
Quick Start
This guide will show you how to set up a simple application using Node.js and MongoDB. Its scope is only how to set up the driver and perform the simple CRUD operations. For more in-depth coverage, see the official documentation.
Create the package.json
file
First, create a directory where your application will live.
mkdir myProject
cd myProject
Enter the following command and answer the questions to create the initial structure for your new project:
npm init -y
Next, install the driver as a dependency.
npm install mongodb
Start a MongoDB Server
For complete MongoDB installation instructions, see the manual.
- Download the right MongoDB version from MongoDB
- Create a database directory (in this case under /data).
- Install and start a
mongod
process.
mongod --dbpath=/data
You should see the mongod process start up and print some status information.
Connect to MongoDB
Create a new app.js file and add the following code to try out some basic CRUD operations using the MongoDB driver.
Add code to connect to the server and the database myProject:
NOTE: Resolving DNS Connection issues
Node.js 18 changed the default DNS resolution ordering from always prioritizing IPv4 to the ordering returned by the DNS provider. In some environments, this can result in
localhost
resolving to an IPv6 address instead of IPv4 and a consequent failure to connect to the server.This can be resolved by:
- specifying the IP address family using the MongoClient
family
option (MongoClient(<uri>, { family: 4 } )
)- launching mongod or mongos with the ipv6 flag enabled (--ipv6 mongod option documentation)
- using a host of
127.0.0.1
in place of localhost- specifying the DNS resolution ordering with the
--dns-resolution-order
Node.js command line argument (e.g.node --dns-resolution-order=ipv4first
)
const { MongoClient } = require('mongodb');
// or as an es module:
// import { MongoClient } from 'mongodb'
// Connection URL
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
// Database Name
const dbName = 'myProject';
async function main() {
// Use connect method to connect to the server
await client.connect();
console.log('Connected successfully to server');
const db = client.db(dbName);
const collection = db.collection('documents');
// the following code examples can be pasted here...
return 'done.';
}
main()
.then(console.log)
.catch(console.error)
.finally(() => client.close());
Run your app from the command line with:
node app.js
The application should print Connected successfully to server to the console.
Insert a Document
Add to app.js the following function which uses the insertMany method to add three documents to the documents collection.
const insertResult = await collection.insertMany([{ a: 1 }, { a: 2 }, { a: 3 }]);
console.log('Inserted documents =>', insertResult);
The insertMany command returns an object with information about the insert operations.
Find All Documents
Add a query that returns all the documents.
const findResult = await collection.find({}).toArray();
console.log('Found documents =>', findResult);
This query returns all the documents in the documents collection. If you add this below the insertMany example, you'll see the documents you've inserted.
Find Documents with a Query Filter
Add a query filter to find only documents which meet the query criteria.
const filteredDocs = await collection.find({ a: 3 }).toArray();
console.log('Found documents filtered by { a: 3 } =>', filteredDocs);
Only the documents which match 'a' : 3
should be returned.
Update a document
The following operation updates a document in the documents collection.
const updateResult = await collection.updateOne({ a: 3 }, { $set: { b: 1 } });
console.log('Updated documents =>', updateResult);
The method updates the first document where the field a is equal to 3 by adding a new field b to the document set to 1. updateResult
contains information about whether there was a matching document to update or not.
Remove a document
Remove the document where the field a is equal to 3.
const deleteResult = await collection.deleteMany({ a: 3 });
console.log('Deleted documents =>', deleteResult);
Index a Collection
Indexes can improve your application's performance. The following function creates an index on the a field in the documents collection.
const indexName = await collection.createIndex({ a: 1 });
console.log('index name =', indexName);
For more detailed information, see the indexing strategies page.
Error Handling
If you need to filter certain errors from our driver, we have a helpful tree of errors described in etc/notes/errors.md.
It is our recommendation to use instanceof
checks on errors and to avoid relying on parsing error.message
and error.name
strings in your code.
We guarantee instanceof
checks will pass according to semver guidelines, but errors may be sub-classed or their messages may change at any time, even patch releases, as we see fit to increase the helpfulness of the errors.
Any new errors we add to the driver will directly extend an existing error class and no existing error will be moved to a different parent class outside of a major release.
This means instanceof
will always be able to accurately capture the errors that our driver throws.
const client = new MongoClient(url);
await client.connect();
const collection = client.db().collection('collection');
try {
await collection.insertOne({ _id: 1 });
await collection.insertOne({ _id: 1 }); // duplicate key error
} catch (error) {
if (error instanceof MongoServerError) {
console.log(`Error worth logging: ${error}`); // special case for some reason
}
throw error; // still want to crash
}
Nightly releases
If you need to test with a change from the latest main
branch, our mongodb
npm package has nightly versions released under the nightly
tag.
npm install mongodb@nightly
Nightly versions are published regardless of testing outcome. This means there could be semantic breakages or partially implemented features. The nightly build is not suitable for production use.
Next Steps
License
© 2012-present MongoDB Contributors
© 2009-2012 Christian Amor Kvalheim
Top Related Projects
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
MongoDB object modeling designed to work in an asynchronous environment.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot