PostgreSQL and Fibery Integration

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Sync PostgreSQL data into Fibery for real-time reporting and custom views. Latenode simplifies complex data transformations with a visual editor and JavaScript functions, plus you pay only for the execution time.

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PostgreSQL

Fibery

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Fibery

Create a New Scenario to Connect PostgreSQL and Fibery

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Fibery will be your first step. To do this, click "Choose an app," find PostgreSQL or Fibery, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node

Select the PostgreSQL node from the app selection panel on the right.

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PostgreSQL

Configure the PostgreSQL

Click on the PostgreSQL node to configure it. You can modify the PostgreSQL URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect PostgreSQL

Sign In

Run node once

Add the Fibery Node

Next, click the plus (+) icon on the PostgreSQL node, select Fibery from the list of available apps, and choose the action you need from the list of nodes within Fibery.

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Authenticate Fibery

Now, click the Fibery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fibery settings. Authentication allows you to use Fibery through Latenode.

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Configure the PostgreSQL and Fibery Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Fibery Oauth 2.0

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The action ID

Run node once

Set Up the PostgreSQL and Fibery Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring PostgreSQL, Fibery, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the PostgreSQL and Fibery integration works as expected. Depending on your setup, data should flow between PostgreSQL and Fibery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PostgreSQL and Fibery

Fibery + PostgreSQL + Slack: When a Fibery entity is created or updated, the automation finds the corresponding row in PostgreSQL using an Execute SQL Query. Based on the SQL Query result, a message is sent to a Slack channel to alert the project team of the change in Fibery. The Execute SQL Query action allows for specific filtering based on the database event.

Fibery + PostgreSQL + Google Sheets: Summarize Fibery project data in daily reports using Google Sheets by pulling info from PostgreSQL. A PostgreSQL query retrieves the necessary data, which is then used to update a Google Sheet with the project summary. The Fibery data is not directly used in this flow.

PostgreSQL and Fibery integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

About Fibery

Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.

See how Latenode works

FAQ PostgreSQL and Fibery

How can I connect my PostgreSQL account to Fibery using Latenode?

To connect your PostgreSQL account to Fibery on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select PostgreSQL and click on "Connect".
  • Authenticate your PostgreSQL and Fibery accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync new PostgreSQL records into Fibery automatically?

Yes, you can! Latenode allows real-time synchronization, so new PostgreSQL entries become Fibery items instantly, keeping your project data current automatically and saving you manual data entry.

What types of tasks can I perform by integrating PostgreSQL with Fibery?

Integrating PostgreSQL with Fibery allows you to perform various tasks, including:

  • Create new Fibery Features from specific PostgreSQL database entries.
  • Update Fibery entities based on changes in your PostgreSQL database.
  • Automatically generate reports in Fibery from PostgreSQL data.
  • Monitor PostgreSQL performance metrics directly within Fibery dashboards.
  • Trigger Fibery actions based on custom PostgreSQL queries.

Can I use custom SQL queries with my PostgreSQL integration?

Yes, Latenode allows you to use custom SQL queries within the integration. This lets you extract the precise data you need for Fibery automation.

Are there any limitations to the PostgreSQL and Fibery integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations might require custom JavaScript code.
  • Initial data synchronization can take time for large PostgreSQL databases.
  • Real-time updates depend on the polling interval set within your workflow.

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