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Automatically visualize data changes from PostgreSQL in Miro boards, keeping stakeholders aligned. Latenode’s visual editor and flexible JavaScript nodes make complex data transformations effortless, scaling affordably as your project grows.
Connect PostgreSQL and Miro in minutes with Latenode.
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Create a New Scenario to Connect PostgreSQL and Miro
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 Miro will be your first step. To do this, click "Choose an app," find PostgreSQL or Miro, 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.
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.
Add the Miro Node
Next, click the plus (+) icon on the PostgreSQL node, select Miro from the list of available apps, and choose the action you need from the list of nodes within Miro.
PostgreSQL
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Miro
Authenticate Miro
Now, click the Miro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Miro settings. Authentication allows you to use Miro through Latenode.
Configure the PostgreSQL and Miro 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 PostgreSQL and Miro 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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Miro
Trigger on Webhook
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PostgreSQL
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring PostgreSQL, Miro, 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 Miro integration works as expected. Depending on your setup, data should flow between PostgreSQL and Miro (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
PostgreSQL + Miro + Slack: When a new or updated row is detected in PostgreSQL, the automation will update a specified Miro board and then send a notification to a Slack channel.
Miro + PostgreSQL + Jira: When a new or updated item is detected in Miro, the automation will create a Jira issue and then insert the item details into a PostgreSQL database.
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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About Miro
Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.
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How can I connect my PostgreSQL account to Miro using Latenode?
To connect your PostgreSQL account to Miro on Latenode, follow these steps:
Can I visualize PostgreSQL data on Miro whiteboards?
Yes, you can! Latenode lets you create automated workflows, like converting database records into Miro cards for dynamic project visualizations and collaborative data analysis.
What types of tasks can I perform by integrating PostgreSQL with Miro?
Integrating PostgreSQL with Miro allows you to perform various tasks, including:
How does Latenode handle large datasets when querying PostgreSQL?
Latenode efficiently manages large PostgreSQL datasets by supporting pagination, data streaming, and custom JavaScript transformations for optimized processing.
Are there any limitations to the PostgreSQL and Miro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: