Can Postgres connect with S3?

Yes, Postgres can connect with S3 using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Postgres and S3. Configure nodes for Postgres and S3 in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Postgres’s API with n8n?

Yes, with n8n, you can programmatically interact with Postgres’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use S3’s API with n8n?

Yes, with n8n, you can programmatically interact with S3’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Postgres and S3?

Yes, it is safe to use n8n to integrate Postgres and S3. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Postgres and S3 integration in n8n.io?

To start integrating Postgres and S3 in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

Back to Integrations

Postgres

Postgres and S3 integration

Save yourself the work of writing custom integrations for Postgres and S3 and use n8n instead. Build adaptable and scalable Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

Get started

See n8n in action

How to connect Postgres and S3

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Postgres and S3 integration: Create a new workflow and add the first step

Step 2: Add and configure Postgres and S3 nodes

You can find Postgres and S3 in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Postgres and S3 nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Postgres and S3 integration: Add and configure Postgres and S3 nodes

Step 3: Connect Postgres and S3

A connection establishes a link between Postgres and S3 (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Postgres and S3 integration: Connect Postgres and S3

Step 4: Customize and extend your Postgres and S3 integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Postgres and S3 with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Postgres and S3 integration: Customize and extend your Postgres and S3 integration

Step 5: Test and activate your Postgres and S3 workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Postgres to S3 or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Postgres and S3 integration: Test and activate your Postgres and S3 workflow

Sync Gmail emails to PostgreSQL with S3 attachment storage

Automated Gmail Email Processing System

Who's it for
Businesses and individuals who need to:
Archive email communications in a searchable database
Backup email attachments to cloud storage
Analyze email patterns and communication data
Comply with data retention policies
Integrate emails with other business systems

What it does
This workflow automatically captures, processes, and stores Gmail emails in a PostgreSQL database while uploading file attachments to S3/MinIO storage. It handles both individual emails (via Gmail Trigger) and bulk processing (via Schedule Trigger).

Key features:
Dual processing: real-time individual emails + scheduled bulk retrieval
Complete email metadata extraction (sender, recipients, labels, timestamps)
HTML to plain text conversion for searchable content
Binary attachment processing with metadata extraction
Organized S3/MinIO file storage structure
UPSERT database operations to prevent duplicates

How it works
Email Capture: Gmail Trigger detects new emails, Schedule Trigger gets bulk emails from last hour
Parallel Processing: Emails with attachments go through binary processing, others go directly to transformation
Attachment Handling: Extract metadata, upload to S3/MinIO, create database references
Data Transformation: Convert Gmail API format to PostgreSQL structure
Storage: UPSERT emails to database with linked attachment information

Requirements
Credentials needed:
Gmail OAuth2 (gmail.readonly scope)
PostgreSQL database connection
S3/MinIO storage credentials

Database setup:
Run the provided SQL schema to create the messages table with JSONB fields for flexible data storage.

How to set up
Gmail OAuth2: Enable Gmail API in Google Cloud Console, create OAuth2 credentials
PostgreSQL: Create database and run the SQL schema provided in setup sticky note
S3/MinIO: Create bucket "gmail-attachments" with proper upload permissions
Configure: Update authenticatedUserEmail in transform scripts to your email
Test: Start with single email before enabling bulk processing

How to customize
Email filters**: Modify Gmail queries (in:sent, in:inbox) to target specific emails
Storage structure**: Change S3 file path format in Upload node
Processing schedule**: Adjust trigger frequencies based on email volume
Database fields**: Extend PostgreSQL schema for additional metadata
Attachment types**: Add file type filtering in binary processing logic

Note: This workflow processes emails from the last hour to avoid overwhelming the system. Adjust timeframes based on your email volume and processing needs.

Nodes used in this workflow

Get started

Copy workflow

Build your own Postgres and S3 integration

Create custom Postgres and S3 workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Postgres supported actions

Database

Delete

Delete an entire table or rows in a table

Execute Query

Execute an SQL query

Insert

Insert rows in a table

Insert or Update

Insert or update rows in a table

Select

Select rows from a table

Update

Update rows in a table

S3 supported actions

Bucket
File
Folder

Create

Create a bucket

Delete

Delete a bucket

Get Many

Get many buckets

Search within a bucket

Copy

Copy a file

Delete

Delete a file

Download

Download a file

Get Many

Get many files

Upload

Upload a file

Create

Create a folder

Delete

Delete a folder

Get Many

Get many folders

Postgres and S3 integration tutorials

Database
ITOps
Tutorial

How to export data from PostgreSQL to CSV

CSV is a universally accepted and easy-to-read format to interpret data, and PostgreSQL is one of the most popular relational databases. Read on to learn how to export PostgreSQL as a CSV file using the COPY command, \copy command, and n8n.

Database
ITOps
Tutorial

How to import CSV into PostgreSQL

PostgreSQL remains one of the most popular relational database options among data enthusiasts. Read on to learn how to import a CSV file into PostgreSQL using pgAdmin, SQL statements, and n8n.

Database
ITOps
SecOps
Tutorial

Database activity monitoring: How to automatically monitor and set alerts for a database

Learn what database activity monitoring is, why it's important, and how to automatically monitor a Postgres database containing IoT data with n8n workflows.