How to Connect PostgreSQL and Make.com: Step-by-Step Guide (2026)
In today's data-driven business landscape, the ability to connect disparate systems is no longer a luxury but a necessity. Your PostgreSQL database likely holds crucial operational data, from customer records to inventory levels. Meanwhile, platforms like Make.com (formerly Integromat) provide powerful visual automation tools to streamline workflows across various applications.
Connecting PostgreSQL with Make.com allows you to unlock significant operational efficiencies. Imagine automatically syncing customer data from your website forms to your database, updating inventory levels based on e-commerce sales, or triggering internal notifications when specific database conditions are met. This guide will walk you through the process of integrating these two powerful platforms, ensuring your data is not just stored, but actively working for your business.
Why Connect PostgreSQL and Make.com?
Integrating your PostgreSQL database with an automation platform like Make.com offers several business advantages:
Data Centralization and Accessibility
PostgreSQL serves as a robust repository for your structured data. By connecting it to Make.com, you make this data more accessible and actionable across your other business applications. This removes data silos, allowing information to flow freely and be utilized where it's most needed.
Automation of Workflows
The primary benefit of Make.com is its ability to automate tasks. Linking it with PostgreSQL enables you to:
- Automatically insert new records into your database based on actions in other apps (e.g., new lead in a CRM, new order in an e-commerce platform).
- Update existing records in PostgreSQL when data changes elsewhere.
- Retrieve specific data from PostgreSQL to populate other applications or trigger subsequent actions.
- Eliminate manual data entry, reducing errors and saving significant time.
Improved Operational Efficiency
Manual processes involving data transfer between systems are time-consuming and prone to human error. Automation through Make.com reduces the need for these interventions, allowing your teams to focus on higher-value tasks. This leads to faster operations, reduced labor costs, and a more agile business.
Data-Driven Decision Making
By automating the flow of data, you ensure that relevant information is always up-to-date and available across your connected systems. This facilitates real-time reporting and analysis, empowering your teams to make more informed and timely decisions based on the most current data.
What You Need Before You Start
Before you begin building your integration, ensure you have the following:
PostgreSQL Database Access
You will need the following credentials and permissions for your PostgreSQL database:
- Host: The IP address or hostname of your PostgreSQL server.
- Port: The port number your PostgreSQL server is listening on (default is 5432).
- Database Name: The specific database you want to connect to.
- Username: A user account with sufficient permissions (e.g., SELECT, INSERT, UPDATE, DELETE) for the tables you intend to interact with.
- Password: The password for the specified user.
- Remote Access: Ensure your PostgreSQL server is configured to accept remote connections. If it's behind a firewall, you may need to whitelist Make.com's IP addresses. Refer to Make.com's documentation for their current list of IP addresses.
Make.com Account
You need an active Make.com account. A free account is sufficient to start building and testing scenarios.
Basic SQL Knowledge
While Make.com simplifies much of the process, a basic understanding of SQL (SELECT, INSERT, UPDATE, DELETE statements) will be beneficial for configuring queries and understanding data interactions.
Step-by-Step Guide to Connecting PostgreSQL and Make.com
Follow these steps to establish a robust connection between your PostgreSQL database and Make.com:
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Step 1: Create a New Scenario in Make.com
Log in to your Make.com account. On your dashboard, click the "Create a new scenario" button. This will open the scenario builder, where you will define your automation workflow.
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Step 2: Add the PostgreSQL Module
In the scenario builder, click the large circle with a plus sign to add your first module. Search for "PostgreSQL" and select the module. You will then be prompted to choose an action or trigger. Common actions include "Search Rows," "Insert a Row," "Update a Row," or "Delete a Row." If you need to trigger a scenario based on database changes, you might need a different approach (e.g., a webhook or scheduled search, as PostgreSQL doesn't have native real-time triggers for Make.com).
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Step 3: Create a New PostgreSQL Connection
After selecting an action, the module configuration panel will appear. Click "Add" next to the "Connection" field to create a new connection. A dialog box will prompt you for your PostgreSQL connection details:
- Connection Name: Give your connection a descriptive name (e.g., "Main Company Database").
- Host: Enter the IP address or hostname of your PostgreSQL server.
- Port: Enter the port number (usually 5432).
- Database Name: Specify the database you wish to connect to.
- Username: Enter the PostgreSQL username.
- Password: Enter the password for that username.
- Use SSL: It is highly recommended to enable SSL for secure communication.
Important Note on Firewalls: If your PostgreSQL database is hosted on a private server or behind a corporate firewall, you must configure your firewall to allow incoming connections from Make.com's server IP addresses. This is a critical step for successful remote connection. Make.com provides a list of these IP addresses in their documentation.
After entering all details, click "Continue" or "Test connection" (if available). If the connection is successful, you will see a confirmation.
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Step 4: Configure Your PostgreSQL Module
Once connected, configure the specific action you selected. For example:
- For "Insert a Row": Select the target table and map the data fields from previous modules (or static values) to the corresponding columns in your PostgreSQL table.
- For "Search Rows": Select the table, define filters (e.g., "where status = 'active'"), specify columns to retrieve, and set a limit for the number of rows.
- For "Update a Row": Select the table, specify the row(s) to update using a filter, and then map the new values to the relevant columns.
Make.com's visual builder makes mapping data straightforward. You can drag and drop elements from previous modules in your scenario into the PostgreSQL fields.
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Step 5: Add Subsequent Modules (Optional)
The power of Make.com lies in chaining modules together. After your PostgreSQL module performs its action, you can add subsequent modules to process the data further. For instance, if you searched for customer data in PostgreSQL, the next module might be to send an email via Gmail, update a record in your CRM, or post a message in Slack.
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Step 6: Test and Activate Your Scenario
Before activating, thoroughly test your scenario. Use the "Run once" button in the Make.com editor to execute the workflow step-by-step. Review the execution history and any output bundles to ensure data is flowing correctly and the PostgreSQL actions are performing as expected. Once satisfied, save your scenario and toggle the "Scheduling" switch to ON to activate it according to your desired schedule (e.g., every 15 minutes, daily, or immediately upon a webhook trigger).
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Popular Use Cases for PostgreSQL & Make.com Integration
Once connected, the possibilities for automation are extensive. Here are a few common business applications:
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Automated Data Sync and Reporting
Scenario: Sync new leads from a web form (captured via a Make.com webhook) directly into your PostgreSQL CRM database. Periodically, retrieve specific data from PostgreSQL (e.g., sales figures) and automatically generate a report in Google Sheets or send it as an attachment via email to stakeholders.
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Real-time Inventory Management
Scenario: When a sale occurs on your e-commerce platform (triggering a Make.com webhook), automatically update the inventory count for the purchased product in your PostgreSQL database. If inventory for a product falls below a certain threshold, trigger an alert to your procurement team via Slack or email.
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Customer Support Workflow Automation
Scenario: A new support ticket is created in your helpdesk system (triggering Make.com). Make.com searches your PostgreSQL database for the customer's purchase history, then creates a new record in PostgreSQL for the ticket, associates it with the customer, and perhaps updates a status in an internal project management tool, all without manual data entry.
Estimated Time Savings
The time savings from connecting PostgreSQL and Make.com can be substantial. For tasks that involve manual data transfer, reconciliation, or repetitive data entry between systems, the automation can reduce the time spent from hours to mere minutes or even seconds per day. Complex, multi-step processes that might have required 1-2 hours of manual work daily can be reduced to zero human intervention after initial setup.
Businesses often report an up to 80% reduction in manual data handling time for tasks that are automated, allowing employees to redirect their efforts toward strategic initiatives rather than administrative overhead. Over a year, this translates into significant operational cost reductions and increased productivity.
Frequently Asked Questions
Is it secure to connect PostgreSQL to Make.com?
Yes, Make.com is designed with security in mind. It uses secure connections (SSL/TLS) to encrypt data in transit. However, security is a shared responsibility. You should ensure your PostgreSQL server is properly secured with strong, unique passwords, appropriate user permissions, and network firewalls. Always enable SSL for your PostgreSQL connection in Make.com. If your database is on a private network, ensure you only whitelist Make.com's official IP addresses in your firewall settings.
Can I use Make.com to create new tables in PostgreSQL?
No, Make.com's PostgreSQL modules are primarily designed to interact with existing tables. This means you can insert, update, select, and delete rows of data. Schema changes, such as creating new tables, altering table structures, or adding/removing columns, should be performed directly within your PostgreSQL database using standard SQL tools or database management software.
What if my PostgreSQL database is behind a firewall or on a local network?
For Make.com (which operates from the cloud) to access a PostgreSQL database behind a firewall, you typically need to configure your firewall to allow incoming connections from Make.com's specific server IP addresses. Make.com provides a list of these static IP addresses for whitelisting purposes. If your database is on a strictly local network without any public internet access, direct cloud-based connections like Make.com's might not be feasible without setting up a secure tunnel or a local agent, which is a more advanced setup beyond the scope of this direct connection guide.
Written by Vangari Sai Sampath, Automation Specialist · Integration Directory · Hyderabad, India