Miro and PostgreSQL Integration

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Automate feedback loops by saving Miro board content in PostgreSQL for analysis. Latenode's visual editor and affordable execution make it easy to track insights, iterate on ideas, and refine project strategies using real-time data.

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Miro

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Miro and PostgreSQL

Create a New Scenario to Connect Miro 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 Miro, triggered by another scenario, or executed manually (for testing purposes). In most cases, Miro or PostgreSQL will be your first step. To do this, click "Choose an app," find Miro or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Miro Node

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

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Configure the Miro

Click on the Miro node to configure it. You can modify the Miro 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 PostgreSQL Node

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

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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.

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Configure the Miro 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.

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Run node once

Set Up the Miro and PostgreSQL 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 Miro, 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 Miro and PostgreSQL integration works as expected. Depending on your setup, data should flow between Miro and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Miro and PostgreSQL

Miro + PostgreSQL + Slack: When a new Miro board is created, its details (board ID, name, description) are logged into a PostgreSQL database. Subsequently, a notification is sent to a designated Slack channel, informing the team about the new board and providing a link.

PostgreSQL + Miro + Jira: When a new row or an updated row in PostgreSQL indicates a need for design input, a new Miro board is automatically created for the project's design phase. Concurrently, a Jira task is created and linked to the Miro board for tracking design progress.

Miro and PostgreSQL integration alternatives

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.

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.

See how Latenode works

FAQ Miro and PostgreSQL

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

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

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

Can I automatically backup Miro board data to PostgreSQL?

Yes, you can! Latenode allows you to schedule automated backups, ensuring your Miro data is safe and accessible in PostgreSQL. Benefit from flexible scheduling and data transformation options.

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

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

  • Storing Miro board content revisions in a PostgreSQL database.
  • Tracking user activity on Miro boards within PostgreSQL.
  • Archiving completed Miro projects into PostgreSQL for reporting.
  • Generating reports on Miro usage using PostgreSQL data analytics.
  • Creating personalized dashboards from Miro data stored in PostgreSQL.

What data triggers are available for Miro within Latenode workflows?

Latenode provides triggers for new board creation, card updates, and comment additions in Miro. Instantly launch workflows based on Miro activity.

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

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

  • Large Miro boards may take longer to process and transfer data.
  • Complex Miro data structures require careful mapping to PostgreSQL schemas.
  • Real-time synchronization depends on Miro API availability and rate limits.

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