Flow and Postgres integration

Save yourself the work of writing custom integrations for Flow and Postgres and use n8n instead. Build adaptable and scalable Productivity, 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 Flow and Postgres

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.

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

Step 2: Add and configure Flow and Postgres nodes

You can find Flow and Postgres 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 Flow and Postgres nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Flow and Postgres integration: Add and configure Flow and Postgres nodes

Step 3: Connect Flow and Postgres

A connection establishes a link between Flow and Postgres (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.

Flow and Postgres integration: Connect Flow and Postgres

Step 4: Customize and extend your Flow and Postgres 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 Flow and Postgres with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Flow and Postgres integration: Customize and extend your Flow and Postgres integration

Step 5: Test and activate your Flow and Postgres workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Flow to Postgres 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.

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

Build your own Flow and Postgres integration

Create custom Flow and Postgres 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.

Flow supported actions

Task

Create

Create a new task

Update

Update a task

Get

Get a task

Get Many

Get many tasks

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

Flow and Postgres integration details

Flow is a cutting-edge project and task management tool for teams. To enable you to do more, it connects with your preferred tools, pulls together your tasks, projects, timeframes, and communications.

Flow node docs + examples

Flow credential docs

See Flow integrations

Related categories

Productivity

Postgres, or PostgresSQL, is a free, open-source tool that helps you emphasize extensibility and SQL compliance. It is an advanced object-relational database that provides high performance, reliability and feature robustness.

Postgres node docs + examples

Postgres credential docs

See Postgres integrations

Related categories

Development

Data & Storage

Flow and Postgres 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.