Can GraphQL connect with Postgres?

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

Can I use GraphQL’s API with n8n?

Yes, with n8n, you can programmatically interact with GraphQL’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 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.

Is n8n secure for integrating GraphQL and Postgres?

Yes, it is safe to use n8n to integrate GraphQL and Postgres. 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 GraphQL and Postgres integration in n8n.io?

To start integrating GraphQL and Postgres 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.

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GraphQL

Postgres

GraphQL and Postgres integration

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

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How to connect GraphQL 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.

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

Step 2: Add and configure GraphQL and Postgres nodes

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

GraphQL and Postgres integration: Add and configure GraphQL and Postgres nodes

Step 3: Connect GraphQL and Postgres

A connection establishes a link between GraphQL 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.

GraphQL and Postgres integration: Connect GraphQL and Postgres

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

GraphQL and Postgres integration: Customize and extend your GraphQL and Postgres integration

Step 5: Test and activate your GraphQL and Postgres workflow

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

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

Build your own GraphQL and Postgres integration

Create custom GraphQL 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.

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

GraphQL and Postgres integration details

GraphQL allows you to answer API queries using your pre-existing data. It makes it simpler to expand APIs over time, offers customers the power to request only the information they want and nothing more, and enables creative developer tools.

GraphQL node docs + examples

See GraphQL integrations

Related categories

Data & Storage

Development

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

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