Adalo and Database Integration

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Sync Adalo data with your Database for advanced reporting or backups. Latenode's visual editor simplifies the data transfer, while affordable execution pricing optimizes running costs, even for complex data workflows.

Swap Apps

Adalo

Database

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Adalo and Database

Create a New Scenario to Connect Adalo and Database

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

Add the Adalo Node

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

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Adalo

Configure the Adalo

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

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Adalo

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Connect Adalo

Sign In

Run node once

Add the Database Node

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

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Adalo

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Database

Authenticate Database

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

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Adalo

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Database

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Connect Database

Sign In

Run node once

Configure the Adalo and Database 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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Change

Select an action *

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Map

The action ID

Run node once

Set Up the Adalo and Database 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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Trigger on Webhook

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Iterator

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Webhook response

Save and Activate the Scenario

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

Most powerful ways to connect Adalo and Database

Adalo + Database + Google Sheets: When a new record is created in Adalo, it is stored in a Database. Weekly, key metrics from the Database are summarized and added as a new row in Google Sheets.

Adalo + Database + Slack: When a new record is created in Adalo, it is stored in a Database. A notification is then sent to a Slack channel to alert the team about the new data.

Adalo and Database integration alternatives

About Adalo

Use Adalo with Latenode to automate tasks triggered by your no-code apps. Update databases, send custom notifications, or process data from Adalo forms in real-time. Latenode adds advanced logic, data transformation, and scaling beyond Adalo's limits, with flexible JavaScript coding and cost-effective execution pricing.

About Database

Use Database in Latenode to centralize data and build dynamic workflows. Pull data, update records, and trigger actions based on database changes. Automate inventory updates, CRM sync, or lead qualification, and orchestrate complex processes with custom logic, no-code tools, and efficient pay-per-use pricing.

See how Latenode works

FAQ Adalo and Database

How can I connect my Adalo account to Database using Latenode?

To connect your Adalo account to Database on Latenode, follow these steps:

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

Can I sync new Adalo users to a Database?

Yes, you can! Latenode lets you automate this. Every new Adalo user can be instantly added to your Database, ensuring your records are always up-to-date without manual work.

What types of tasks can I perform by integrating Adalo with Database?

Integrating Adalo with Database allows you to perform various tasks, including:

  • Create new Database records from new Adalo form submissions.
  • Update Database entries when data changes in Adalo.
  • Sync product catalogs between Adalo and Database.
  • Trigger Adalo actions based on updates in Database.
  • Backup Adalo data to Database for secure storage.

Can I use JavaScript to transform data between Adalo and Database?

Yes! Latenode allows custom JavaScript snippets for advanced data transformation,enabling highly specific data mapping that simple integrations can't offer.

Are there any limitations to the Adalo and Database integration on Latenode?

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

  • Complex data transformations might require custom JavaScript.
  • Real-time synchronization depends on the Adalo API's polling frequency.
  • Large data volumes can affect workflow execution time.

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