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Drizzle with Amazon RDS and SST

Use Drizzle and SST to manage and deploy your Amazon Postgres RDS database.

We are going to use Drizzle and SST to manage and deploy an Amazon Postgres RDS database.

Before you get started:

  1. Configure your AWS credentials
  2. Install the SST CLI

1. Create a project

Let’s start by creating a Node.js app.

Terminal window
mkdir my-drizzle-app && cd my-drizzle-app
npm init -y

Init SST

Now let’s initialize SST in our app. Make sure you have the CLI installed.

Terminal window
sst init

This’ll detect that you are in a plain Node.js project and create a sst.config.ts file in the root.

Init Drizzle

Add Drizzle to your project. We’re also adding the RDS client that Drizzle will use.

Terminal window
npm install @aws-sdk/client-rds-data drizzle-orm drizzle-kit

Drizzle ORM is will be used to query our database, while Drizzle Kit will allow us to run migrations. It also comes Drizzle Studio, a query browser.

Let’s add the following to the scripts in the package.json.

"scripts": {
"db": "sst shell drizzle-kit",
"db:studio": "sst shell drizzle-kit studio"

SST will pass the credentials to Drizzle Kit and allow it to connect to your database.

2. Add a Postgres db

Let’s add a Postgres database using Amazon Aurora Serverless v2. Update your sst.config.ts.

async run() {
const vpc = new"MyVpc");
const rds = new"MyPostgres", { vpc });

Add an API

We’ll also add an API to query our database. Add the following to your sst.config.ts below the database config.

const api = new"MyApi", {
url: true,
link: [rds],
handler: "src/api.handler",
return {
api: api.url,

We are linking our database to the API.

Start dev mode

Start your app in dev mode. This runs your functions Live.

Terminal window
sst dev

It’ll take a few minutes to create your database. Once complete, you’ll see this.


3. Create a schema

Let’s define our Drizzle config. Add a drizzle.config.ts in your project root with this.

import { Resource } from "sst";
import { defineConfig } from "drizzle-kit";
export default defineConfig({
driver: "aws-data-api",
dialect: "postgresql",
dbCredentials: {
database: Resource.MyPostgres.database,
secretArn: Resource.MyPostgres.secretArn,
resourceArn: Resource.MyPostgres.clusterArn,
// Pick up all our schema files
schema: ["./src/**/*.sql.ts"],
out: "./migrations",

Here we are telling Drizzle that we’ll be specifying your database schema in .sql.ts files in our src/ directory.

We are going to create a simple database to store some todos. Create a new file in src/todo.sql.ts with the following.

import { text, serial, pgTable } from "drizzle-orm/pg-core";
export const todo = pgTable("todo", {
id: serial("id").primaryKey(),
title: text("title").notNull(),
description: text("description"),

4. Generate a migration

We can use this to generate a migration.

Terminal window
npm run db generate

This in turn runs sst shell drizzle-kit generate and creates a new migration in the migrations/ directory.

Apply the migration

Now we can apply our migration using.

Terminal window
npm run db migrate

This should create our new schema.

Drizzle Studio

To see our schema in action we can open the Drizzle Studio.

Terminal window
npm run db:studio

This will run sst shell drizzle-kit studio and direct you to opening

Initial Drizzle Studio with SST

5. Query the database

To use Drizzle ORM to query our database, create a new src/drizzle.ts config file with the following.

import { Resource } from "sst";
import { drizzle } from "drizzle-orm/aws-data-api/pg";
import { RDSDataClient } from "@aws-sdk/client-rds-data";
const client = new RDSDataClient({});
export const db = drizzle(client, {
database: Resource.MyPostgres.database,
secretArn: Resource.MyPostgres.secretArn,
resourceArn: Resource.MyPostgres.clusterArn,

Now we can use that in the API. Create our API handler in src/api.ts.

import { db } from "./drizzle";
import { todo } from "./todo.sql";
import { APIGatewayProxyHandlerV2 } from "aws-lambda";
export const handler: APIGatewayProxyHandlerV2 = async (evt) => {
if (evt.requestContext.http.method === "GET") {
const result = await;
return {
statusCode: 200,
body: JSON.stringify(result, null, 2),
if (evt.requestContext.http.method === "POST") {
const result = await db
.values({ title: "Todo", description: crypto.randomUUID() })
return {
statusCode: 200,
body: JSON.stringify(result),

For POST requests we create a new todo and for GET requests we simply print out all our todos.

Test your app

To test our app, make a POST request to our API.

Terminal window
curl -X POST

Now if you head over to in your browser, you’ll see that a todo has been added.

Todo created with Drizzle in SST

You should see this in the Drizzle Studio as well.

6. Deploy your app

Finally, let’s deploy your app.

Terminal window
sst deploy