Which is Better Node.js Database Libraries?
mongodb vs mongoose vs typeorm vs sequelize
1 Year
mongodbmongoosetypeormsequelizeSimilar Packages:
What's Node.js Database Libraries?

Node.js database libraries facilitate interaction with various types of databases, providing developers with tools to perform CRUD operations, manage connections, and handle data models. These libraries abstract the complexities of database interactions, allowing developers to focus on building applications rather than dealing with low-level database queries. Each library has its own strengths and weaknesses, catering to different use cases and preferences in terms of database management and application architecture.

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mongodb6,435,84610,0483.53 MB2823 days agoApache-2.0
mongoose2,649,52826,9612.75 MB2425 days agoMIT
typeorm2,098,06234,23620.4 MB2,59710 months agoMIT
sequelize1,849,21529,5732.91 MB95219 days agoMIT
Feature Comparison: mongodb vs mongoose vs typeorm vs sequelize

Database Type

  • mongodb: MongoDB is a NoSQL database that stores data in flexible, JSON-like documents, allowing for dynamic schemas and easy scalability. It is designed for high availability and performance, making it suitable for applications that require rapid data access and storage.
  • mongoose: Mongoose is an ODM specifically for MongoDB, providing a schema-based solution to model application data. It allows developers to define schemas for their documents, ensuring data consistency and validation while leveraging MongoDB's flexibility.
  • typeorm: TypeORM is an ORM that supports both SQL and NoSQL databases. It is designed for TypeScript and JavaScript applications, providing a unified approach to data management across different database types.
  • sequelize: Sequelize is an ORM for SQL databases, providing a structured way to interact with relational databases. It supports various SQL dialects and allows developers to define models, relationships, and perform complex queries using a fluent API.

Data Modeling

  • mongodb: MongoDB's schema-less design allows for flexible data modeling, enabling developers to store different structures within the same collection. This flexibility is beneficial for applications with evolving data requirements but may lead to inconsistencies if not managed properly.
  • mongoose: Mongoose enforces a schema for MongoDB documents, providing a clear structure and validation rules. This helps maintain data integrity and consistency, making it easier to manage complex data relationships and ensuring that documents adhere to defined formats.
  • typeorm: TypeORM uses decorators to define entities and their relationships, providing a clear and type-safe way to model data. This approach allows developers to leverage TypeScript's features for better code quality and maintainability.
  • sequelize: Sequelize allows developers to define models with attributes and data types, enforcing structure while also supporting associations between models. This makes it easy to represent complex relationships in relational databases, such as one-to-many and many-to-many relationships.

Querying

  • mongodb: MongoDB provides a powerful query language that allows for complex queries using a JSON-like syntax. It supports various operations such as filtering, sorting, and aggregating data, making it suitable for applications that require dynamic querying capabilities.
  • mongoose: Mongoose extends MongoDB's querying capabilities with a rich API that includes methods for filtering, population of related documents, and middleware for hooks. This makes it easier to work with data and implement business logic directly within queries.
  • typeorm: TypeORM provides a powerful query builder and supports both active record and data mapper patterns. It allows for complex queries using a fluent API and supports TypeScript's type safety, making it easier to build robust applications.
  • sequelize: Sequelize offers a fluent API for querying SQL databases, supporting complex queries, transactions, and eager/lazy loading of associated models. Its promise-based approach ensures that queries are handled asynchronously, improving performance in Node.js applications.

Learning Curve

  • mongodb: MongoDB has a moderate learning curve, especially for those new to NoSQL databases. Understanding its document-oriented approach and query language may take some time, but its flexibility can be advantageous for rapid development.
  • mongoose: Mongoose has a steeper learning curve due to its schema-based approach and additional features like middleware and validation. However, once mastered, it significantly simplifies working with MongoDB and enhances data integrity.
  • typeorm: TypeORM can be challenging for those unfamiliar with TypeScript or decorators. However, its strong typing and comprehensive features can lead to more maintainable code in the long run, making the initial investment worthwhile.
  • sequelize: Sequelize is relatively easy to learn for developers familiar with SQL. Its promise-based API and extensive documentation make it accessible, but mastering its advanced features may require additional time and practice.

Community and Support

  • mongodb: MongoDB has a large and active community, with extensive documentation, tutorials, and support resources available. This makes it easier for developers to find help and share knowledge.
  • mongoose: Mongoose also has a strong community and is well-documented, with numerous resources available for learning and troubleshooting. Its popularity among MongoDB users ensures a wealth of shared knowledge.
  • typeorm: TypeORM has a growing community, particularly among TypeScript developers. While its documentation is comprehensive, the community is still expanding compared to more established libraries.
  • sequelize: Sequelize has a vibrant community and is widely used in the Node.js ecosystem. It offers good documentation and community support, making it easier for developers to get assistance and share experiences.
How to Choose: mongodb vs mongoose vs typeorm vs sequelize
  • mongodb: Choose MongoDB if you require a NoSQL database that offers high scalability, flexibility, and the ability to handle large volumes of unstructured data. It is ideal for applications that need to store data in JSON-like documents and require horizontal scaling.
  • mongoose: Choose Mongoose if you are working with MongoDB and need a robust ODM (Object Data Modeling) library that provides schema validation, middleware, and a rich query API. Mongoose simplifies data modeling and validation, making it easier to work with MongoDB's document structure.
  • typeorm: Choose TypeORM if you need a TypeScript-friendly ORM that supports both SQL and NoSQL databases. It offers advanced features like lazy loading, eager loading, and extensive support for decorators, making it suitable for TypeScript applications that require a strong typing system.
  • sequelize: Choose Sequelize if you prefer a promise-based ORM for SQL databases like MySQL, PostgreSQL, and SQLite. It provides a powerful and flexible way to interact with relational databases, supporting transactions, migrations, and associations between models.
README for mongodb

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 you’ve 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:

Some of these packages include native C++ extensions. Consult the trouble shooting guide here if you run into compilation issues.

Third party:

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.

  1. Download the right MongoDB version from MongoDB
  2. Create a database directory (in this case under /data).
  3. 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

Apache 2.0

© 2012-present MongoDB Contributors
© 2009-2012 Christian Amor Kvalheim