pg vs pg-promise vs postgresql vs sequelize

Node.js PostgreSQL Database Connectivity Options

pg, pg-promise, postgresql, and sequelize are all tools used to connect Node.js applications to PostgreSQL databases, but they operate at different levels of abstraction. pg is the standard, low-level client library that provides direct access to database features. pg-promise builds on top of pg to offer a promise-based interface with additional convenience methods for handling transactions and batches. postgresql is often a wrapper or alternative client that aims to simplify connection strings but lacks the ecosystem support of pg. sequelize is a full Object-Relational Mapper (ORM) that abstracts SQL entirely, allowing developers to interact with the database using JavaScript objects and models instead of raw queries.

Npm Package Weekly Downloads Trend

3 Years

Github Stars Ranking

Stat Detail

Package	Downloads	Stars	Size	Issues	Publish	License
Package	Downloads	Stars	Size	Issues	Publish	License
pg	0	13,130	93.2 kB	509	9 hours ago	MIT
pg-promise	0	3,553	411 kB	0	2 months ago	MIT
postgresql	0	-	-	-	-	-
sequelize	0	30,351	2.91 MB	1,029	2 months ago	MIT

Node.js PostgreSQL Clients: pg vs pg-promise vs postgresql vs sequelize

When building backend services or full-stack applications with Node.js, connecting to a PostgreSQL database is a common requirement. The ecosystem offers several options ranging from low-level drivers to high-level ORMs. pg is the foundational client, pg-promise enhances it with promises, postgresql serves as an alternative wrapper, and sequelize abstracts the database entirely. Let's compare how they handle real-world engineering tasks.

🏗️ Core Architecture: Driver vs Wrapper vs ORM

pg is the raw driver.

It exposes connections and pools directly.
You write SQL strings and get rows back.

// pg: Direct client usage
const { Pool } = require('pg');
const pool = new Pool({ connectionString: process.env.DATABASE_URL });
const client = await pool.connect();

pg-promise is a promise-based layer on top of pg.

It initializes a database instance that manages the pool for you.
It returns promises by default for all queries.

// pg-promise: Database instance
const pgp = require('pg-promise')();
const db = pgp(process.env.DATABASE_URL);
// db is ready to query immediately

postgresql is often a thin wrapper.

It aims to simplify the connection setup.
It may lack advanced pooling configuration found in pg.

// postgresql: Simplified connection
const postgresql = require('postgresql');
const client = new postgresql.Client(process.env.DATABASE_URL);
await client.connect();

sequelize is a full ORM.

You define models that map to tables.
It manages connections, pooling, and schema synchronization.

// sequelize: Model definition
const { Sequelize } = require('sequelize');
const sequelize = new Sequelize(process.env.DATABASE_URL);
const User = sequelize.define('User', { name: Sequelize.STRING });

📝 Executing Queries: Raw SQL vs Methods

pg requires you to write SQL strings explicitly.

You pass the query and parameters to the query method.
You handle the result object manually.

// pg: Raw query
const res = await client.query('SELECT $1::text as message', ['Hello']);
console.log(res.rows[0].message);

pg-promise also uses SQL strings but simplifies the result.

It often returns the rows directly instead of a result wrapper.
It supports named parameters for readability.

// pg-promise: Query with named parameters
const user = await db.one('SELECT * FROM users WHERE id = $1', userId);
console.log(user.name);

postgresql mimics the standard client API.

You use similar query methods as pg.
Syntax may vary slightly depending on the wrapper version.

// postgresql: Query execution
const res = await client.query('SELECT NOW()');
console.log(res.rows[0]);

sequelize avoids SQL strings for common operations.

You use methods like findAll or create.
You can still run raw queries if needed.

// sequelize: Model method
const users = await User.findAll({ where: { active: true } });
// Or raw query
const [results] = await sequelize.query('SELECT * FROM users');

🔒 Handling Transactions: Manual vs Helpers

pg requires manual transaction control.

You must issue BEGIN, COMMIT, and ROLLBACK commands.
Error handling must be written explicitly.

// pg: Manual transaction
await client.query('BEGIN');
try {
  await client.query('INSERT INTO...');
  await client.query('UPDATE...');
  await client.query('COMMIT');
} catch (e) {
  await client.query('ROLLBACK');
  throw e;
}

pg-promise provides a dedicated transaction API.

You pass a function to db.tx.
It automatically handles commit or rollback based on success.

// pg-promise: Automatic transaction
await db.tx(async (t) => {
  await t.none('INSERT INTO...');
  await t.none('UPDATE...');
});
// Rolls back automatically if an error is thrown

postgresql typically follows the manual approach.

Like pg, you manage the transaction state.
Less helper support compared to pg-promise.

// postgresql: Manual transaction control
await client.query('BEGIN');
// ... execute queries
await client.query('COMMIT');

sequelize wraps transactions in a context object.

You pass the transaction object to model methods.
It manages the lifecycle for you.

// sequelize: Transaction context
await sequelize.transaction(async (t) => {
  await User.create({ name: 'Alice' }, { transaction: t });
  await Post.create({ title: 'Hi' }, { transaction: t });
});

🛡️ Error Handling & Safety

pg throws standard JavaScript errors.

You catch database errors in try/catch blocks.
You are responsible for sanitizing inputs to prevent SQL injection.

// pg: Error handling
try {
  await client.query('SELECT * FROM users WHERE id = $1', [id]);
} catch (err) {
  console.error('Query failed', err);
}

pg-promise offers configurable error handling.

You can set global error receivers for logging.
It enforces parameterized queries by default to prevent injection.

// pg-promise: Global error handling
const initOptions = {
  error: (err, e) => {
    console.log('Global DB error:', err.message);
  }
};
const pgp = require('pg-promise')(initOptions);

postgresql relies on standard promise rejection.

Errors bubble up like any async function.
Safety depends on how you construct queries.

// postgresql: Catching errors
client.query('SELECT * FROM...').catch(err => {
  console.error(err);
});

sequelize has built-in validation.

You define rules in your model (e.g., allowNull: false).
It throws validation errors before hitting the database.

// sequelize: Model validation
const User = sequelize.define('User', {
  email: { type: Sequelize.STRING, validate: { isEmail: true } }
});
// Throws error if email is invalid before querying

🌱 Similarities: Shared Ground

While the differences are clear, all these packages share the goal of connecting Node.js to PostgreSQL securely.

1. 🔌 Connection Pooling

All support connection pooling to manage database resources efficiently.
Prevents opening too many connections under load.

// pg: Pool configuration
const pool = new Pool({ max: 20 });

// sequelize: Pool configuration
const sequelize = new Sequelize(url, { pool: { max: 20 } });

2. 🔐 Parameterized Queries

All support parameterized queries to prevent SQL injection.
Never concatenate user input directly into SQL strings.

// pg-promise: Safe parameters
db.one('SELECT * FROM users WHERE id = $1', [userId]);

// sequelize: Safe replacements
sequelize.query('SELECT * FROM users WHERE id = $1', { bind: [userId] });

3. 📜 Async/Await Support

All work seamlessly with modern JavaScript async/await syntax.
No need for callback hell in modern implementations.

// All packages support this pattern
async function getData() {
  const result = await db.query('SELECT 1');
  return result;
}

📊 Summary: Key Differences

Feature	`pg`	`pg-promise`	`postgresql`	`sequelize`
Type	🔌 Low-level Driver	🔌 Enhanced Driver	🔌 Wrapper/Alternative	🧱 Full ORM
Query Style	📝 Raw SQL	📝 Raw SQL + Helpers	📝 Raw SQL	🧩 Model Methods
Transactions	🛠️ Manual	✅ Automatic	🛠️ Manual	✅ Automatic
Learning Curve	📈 Medium	📈 Medium	📈 Medium	📉 Low (for JS devs)
Performance	⚡ High	⚡ High	⚡ High	⚡ Medium (Abstraction overhead)
Maintenance	🟢 Active	🟢 Active	🟡 Less Active	🟢 Active

💡 The Big Picture

pg is the foundation 🏗️. It is the standard choice for teams who want control, performance, and direct SQL access without extra abstraction. It is the safest bet for long-term maintenance.

pg-promise is the productivity booster 🚀. It keeps the power of pg but removes boilerplate for transactions and error handling. Ideal for teams writing raw SQL who want cleaner code.

postgresql is the alternative 🔄. It exists but lacks the ecosystem dominance of pg. Use it only if you have a specific reason, otherwise stick to pg for better community support.

sequelize is the abstraction layer 🧱. It speeds up development by removing SQL from the daily workflow. Best for CRUD-heavy apps where query optimization is secondary to development speed.

Final Thought: For most professional Node.js backends, pg or pg-promise offers the best balance of control and reliability. Choose sequelize only if your team strongly prefers ORM patterns over writing SQL.

How to Choose: pg vs pg-promise vs postgresql vs sequelize

pg:
Choose pg if you need full control over SQL queries and want the industry-standard driver with the widest community support. It is ideal for projects where performance matters and you prefer writing raw SQL over using an abstraction layer.
pg-promise:
Choose pg-promise if you want the reliability of pg but prefer a cleaner promise-based API with built-in helpers for transactions and batch operations. It suits teams that want to reduce boilerplate without losing the ability to write raw SQL.
postgresql:
Choose postgresql only if you have a specific legacy requirement or need a thin wrapper that simplifies connection strings, but be aware it has less maintenance and community support than pg. For most new projects, pg is the safer and more standard choice.
sequelize:
Choose sequelize if you want to avoid writing SQL entirely and prefer defining database schemas as JavaScript models. It is best for applications where developer speed and abstraction are more important than fine-grained query optimization.

Popular Comparisons

pg-promise

postgresql

sequelize

README for pg

node-postgres

Non-blocking PostgreSQL client for Node.js. Pure JavaScript and optional native libpq bindings.

Install

$ npm install pg

:star: Documentation :star:

Features

Pure JavaScript client and native libpq bindings share the same API
Connection pooling
Extensible JS ↔ PostgreSQL data-type coercion
Supported PostgreSQL features
- Parameterized queries
- Named statements with query plan caching
- Async notifications with LISTEN/NOTIFY
- Bulk import & export with COPY TO/COPY FROM

Extras

node-postgres is by design pretty light on abstractions. These are some handy modules we've been using over the years to complete the picture. The entire list can be found on our wiki.

Support

node-postgres is free software. If you encounter a bug with the library please open an issue on the GitHub repo. If you have questions unanswered by the documentation please open an issue pointing out how the documentation was unclear & I will do my best to make it better!

When you open an issue please provide:

version of Node
version of Postgres
smallest possible snippet of code to reproduce the problem

You can also follow me @brianc on bluesky if that's your thing for updates on node-postgres with nearly zero non node-postgres content. My old twitter/x account is no longer used.

Sponsorship :two_hearts:

node-postgres's continued development has been made possible in part by generous financial support from the community.

If you or your company are benefiting from node-postgres and would like to help keep the project financially sustainable please consider supporting its development.

Featured sponsor

Special thanks to medplum for their generous and thoughtful support of node-postgres!

Contributing

:heart: contributions!

I will happily accept your pull request if it:

has tests
looks reasonable
does not break backwards compatibility

If your change involves breaking backwards compatibility please please point that out in the pull request & we can discuss & plan when and how to release it and what type of documentation or communicate it will require.

Troubleshooting and FAQ

The causes and solutions to common errors can be found among the Frequently Asked Questions (FAQ)

License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.