PostgreSQL and GoCanvas Integration

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Automate field data collection by syncing GoCanvas submissions to PostgreSQL. Latenode's visual editor and affordable execution-based pricing simplifies advanced database management without complex coding or per-step fees.

Swap Apps

PostgreSQL

GoCanvas

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and GoCanvas

Create a New Scenario to Connect PostgreSQL and GoCanvas

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 GoCanvas will be your first step. To do this, click "Choose an app," find PostgreSQL or GoCanvas, 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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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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Run node once

Add the GoCanvas Node

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

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Authenticate GoCanvas

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

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Configure the PostgreSQL and GoCanvas 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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Run node once

Set Up the PostgreSQL and GoCanvas 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, GoCanvas, 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 GoCanvas integration works as expected. Depending on your setup, data should flow between PostgreSQL and GoCanvas (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 GoCanvas

GoCanvas + PostgreSQL + Slack: When a new GoCanvas submission is received, the flow checks if it indicates a failed inspection. If the inspection failed, the flow updates the corresponding record in the PostgreSQL database and then sends a Slack message to the supervisor.

PostgreSQL + GoCanvas + Email: When a new or updated row in PostgreSQL meets certain threshold criteria, the flow executes a SQL query, uses the query results to generate a customized GoCanvas report, and then sends this report as an email attachment to stakeholders.

PostgreSQL and GoCanvas 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 GoCanvas

Use GoCanvas with Latenode to automate data capture from mobile forms into your workflows. Integrate field data directly into databases or CRMs. Trigger follow-up actions based on form submissions, like generating reports or sending notifications. Simplify field operations and improve data accuracy inside Latenode’s visual environment.

See how Latenode works

FAQ PostgreSQL and GoCanvas

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

To connect your PostgreSQL account to GoCanvas 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 GoCanvas accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate GoCanvas data backups to PostgreSQL?

Yes, you can! Latenode lets you automate backups with a visual builder and scheduled triggers. Ensure your GoCanvas data is safely backed up and readily available in PostgreSQL.

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

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

  • Automatically update PostgreSQL tables with new GoCanvas submission data.
  • Trigger GoCanvas workflows based on updates in your PostgreSQL database.
  • Synchronize customer data between PostgreSQL and GoCanvas in real-time.
  • Create detailed reports combining data from PostgreSQL and GoCanvas.
  • Archive GoCanvas submissions to a PostgreSQL database for long-term storage.

How secure is my PostgreSQL data when used with Latenode?

Latenode employs robust security measures including encryption and access controls to protect your PostgreSQL data throughout the integration process.

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

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

  • Large data transfers may impact workflow performance.
  • Complex data transformations might require custom JavaScript code.
  • Real-time synchronization depends on API availability and rate limits.

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