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Capture GoCanvas form data and seamlessly store it in PostgreSQL for robust reporting and analysis. Latenode’s visual editor and affordable execution pricing makes complex data workflows easier and more scalable.
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Create a New Scenario to Connect GoCanvas and PostgreSQL
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 GoCanvas, triggered by another scenario, or executed manually (for testing purposes). In most cases, GoCanvas or PostgreSQL will be your first step. To do this, click "Choose an app," find GoCanvas or PostgreSQL, and select the appropriate trigger to start the scenario.
Add the GoCanvas Node
Select the GoCanvas node from the app selection panel on the right.
GoCanvas
Configure the GoCanvas
Click on the GoCanvas node to configure it. You can modify the GoCanvas URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PostgreSQL Node
Next, click the plus (+) icon on the GoCanvas node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.
GoCanvas
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PostgreSQL
Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the GoCanvas and PostgreSQL Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the GoCanvas and PostgreSQL Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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GoCanvas
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring GoCanvas, PostgreSQL, 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 GoCanvas and PostgreSQL integration works as expected. Depending on your setup, data should flow between GoCanvas and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
GoCanvas + PostgreSQL + Slack: When a new submission is received in GoCanvas indicating urgent maintenance, a new row is inserted into a PostgreSQL database, and a message is sent to a Slack channel notifying the maintenance team.
PostgreSQL + GoCanvas + Jira: When a new or updated row is detected in PostgreSQL (representing a database error exceeding a threshold), a new dispatch is created in GoCanvas to initiate a support request, and a new issue is created in Jira to track the bug.
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.
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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.
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How can I connect my GoCanvas account to PostgreSQL using Latenode?
To connect your GoCanvas account to PostgreSQL on Latenode, follow these steps:
Can I archive GoCanvas submissions to PostgreSQL automatically?
Yes, you can! Latenode lets you automate this, providing a scalable solution to back up your GoCanvas data in PostgreSQL without manual exports or coding.
What types of tasks can I perform by integrating GoCanvas with PostgreSQL?
Integrating GoCanvas with PostgreSQL allows you to perform various tasks, including:
How does Latenode handle large volumes of GoCanvas submissions?
Latenode's architecture is designed for scalability, efficiently processing large volumes of GoCanvas data without performance bottlenecks when writing to PostgreSQL.
Are there any limitations to the GoCanvas and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: