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Connect Pipefy to PostgreSQL

Automate workflows between Pipefy and PostgreSQL. No coding required.

5-minute setupNo code required100 actions included
Popular Workflows

What you can automate between Pipefy and PostgreSQL

These are the most popular automations teams set up between Pipefy and PostgreSQL. Each one runs automatically once activated — no manual steps.

#1

Insert record when new item created

Add a new row or document automatically when when a new task, page, or item is created.

TriggerNew item created in Pipefy
ActionInsert record in PostgreSQL
#2

Create item when new record created

Add a new task, page, or item automatically when when a new row or document is added.

TriggerNew record created in PostgreSQL
ActionCreate item in Pipefy
#3

Sync Pipefy changes to PostgreSQL

Keep PostgreSQL updated when when a task or item is marked complete.

TriggerItem completed in Pipefy
ActionUpdate record in PostgreSQL
How Data Flows

What syncs between Pipefy and PostgreSQL

When an event occurs in Pipefy, the relevant data is automatically sent to PostgreSQL. Arahi maps the fields between both apps so the data arrives in the right format — no manual formatting or exports required.

Pipefy

Data from Pipefy

  • Tasks
  • Pages / documents
  • Database items
  • Status updates
  • Assignees
PostgreSQL

Data from PostgreSQL

  • Records / documents
  • Collection items
  • Field values
  • Timestamps
  • Unique IDs
Step-by-Step Guide

How to connect Pipefy to PostgreSQL

Follow these steps to set up your integration. The entire process takes under 5 minutes.

What you'll need

  • An active Pipefy account
  • An active PostgreSQL account with read/write permissions
  • A free Arahi AI account (sign up takes 30 seconds)
1

Create your Arahi AI account

Sign up at app.arahi.ai — it's free and takes 30 seconds. No credit card required. You'll land on the dashboard where you can create your first workflow.

2

Authenticate Pipefy

Click "Add Connection" and select Pipefy from the app directory. You'll be redirected to Pipefy's authorization page. Grant Arahi access to your workspaces, databases, pages, and tasks. You select which workspaces the integration can read and write to.

3

Authenticate PostgreSQL

Same process for PostgreSQL. Click "Add Connection," select PostgreSQL, and authorize access. Grant Arahi read/write access to your database collections and records. You specify which databases and collections the integration can use.

4

Choose your trigger

Select what event starts the workflow. For this integration, popular triggers include: new item created in pipefy or new record created in postgresql. The trigger fires automatically whenever that event happens — no manual intervention.

5

Configure the action

Define what happens when the trigger fires. For example: insert record in postgresql. Map the data fields between Pipefy and PostgreSQL so the right information lands in the right place.

6

Test and activate

Run a test to confirm data flows correctly between Pipefy and PostgreSQL. Check that the fields map as expected, then toggle the workflow on. It runs 24/7 from here — Arahi handles retries, error logging, and monitoring automatically.

Benefits

Why connect Pipefy and PostgreSQL?

Manually moving data between Pipefy and PostgreSQL is error-prone and eats into your team's productive hours. Connecting them through Arahi eliminates that overhead — events in one app trigger actions in the other automatically.

Sync PostgreSQL records to Pipefy items so updates flow both directions
Auto-create Pipefy tasks when new PostgreSQL records meet specific conditions
Keep Pipefy statuses aligned with PostgreSQL field values in real time
Eliminate manual data transfers between your database and project tool
Tips

Tips for your Pipefy + PostgreSQL integration

Get more out of this integration with these best practices.

Map status fields carefully — naming conventions differ between tools
Define your field mapping before activating to prevent data mismatches
Use database or project-specific triggers to avoid processing unrelated updates
Use unique IDs as match keys to avoid creating duplicates
Use Cases

Who uses the Pipefy + PostgreSQL integration?

Teams across industries connect Pipefy and PostgreSQL to streamline their workflows.

Project managers tracking deliverables who rely on PostgreSQL for databases

Backend engineering who need real-time data from Pipefy

Project management offices and backend engineering collaborating across tools

FAQ

Frequently asked questions

Everything you need to know about connecting Pipefy and PostgreSQL.

How do I connect Pipefy to PostgreSQL?

Sign up for a free Arahi AI account, then click "Add Connection" to authenticate both Pipefy and PostgreSQL via OAuth. Choose a workflow template — like syncing productivity events to databases actions — customize the field mapping, and activate. The entire setup takes under 5 minutes.

What can I automate between Pipefy and PostgreSQL?

You can automate a wide range of workflows: sync new Pipefy events to PostgreSQL actions, trigger PostgreSQL updates when Pipefy data changes, create PostgreSQL records from Pipefy events, and build conditional workflows with filters and field mapping. Each workflow runs 24/7 with automatic retries.

Is the Pipefy and PostgreSQL integration free?

Arahi AI includes 100 free actions per month on the Starter plan — enough for most small teams. If your Pipefy-to-PostgreSQL workflows need more volume, paid plans start at $29/month with unlimited workflows and priority execution.

Is my Pipefy data secure when connected to PostgreSQL?

Yes. Arahi uses OAuth 2.0 for authentication — we never store your Pipefy or PostgreSQL passwords. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your productivity data is only accessed when a workflow runs, and you can revoke access at any time from your Arahi dashboard.

Can I sync data both ways between Pipefy and PostgreSQL?

Yes. You can set up workflows that trigger from either Pipefy or PostgreSQL. For example, create a workflow where Pipefy events update PostgreSQL, and a separate one where PostgreSQL changes sync back to Pipefy. Each direction is configured independently so you have full control.

Do I need technical skills to connect Pipefy and PostgreSQL?

No coding is required. Arahi's visual workflow builder lets you configure triggers, actions, and field mapping with clicks. If you can use Pipefy and PostgreSQL, you can set up the integration. Most users are running their first workflow within 10 minutes.

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