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

Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.


Google Cloud Storage

Configure the Google Cloud Storage
Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage 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 Google Cloud Storage 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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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 Google Cloud Storage 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 Google Cloud Storage 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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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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Google Cloud Storage
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Storage, 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 Google Cloud Storage and PostgreSQL integration works as expected. Depending on your setup, data should flow between Google Cloud Storage 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 Google Cloud Storage and PostgreSQL
Google Cloud Storage + PostgreSQL + Slack: When a new file is uploaded to Google Cloud Storage, the file's metadata is logged in a PostgreSQL database. Subsequently, a notification is sent to a designated Slack channel to inform the team about the new data.
PostgreSQL + Google Cloud Storage + Google Sheets: This automation backs up a PostgreSQL database to Google Cloud Storage on a scheduled basis. After the backup is complete, the details (filename, timestamp) are recorded in a Google Sheet for tracking and auditing.
Google Cloud Storage and PostgreSQL integration alternatives

About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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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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FAQ Google Cloud Storage and PostgreSQL
How can I connect my Google Cloud Storage account to PostgreSQL using Latenode?
To connect your Google Cloud Storage account to PostgreSQL on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Storage and click on "Connect".
- Authenticate your Google Cloud Storage and PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive Google Cloud Storage files to PostgreSQL records?
Yes, easily! Latenode's visual editor lets you automate data extraction from files and store it in PostgreSQL. Benefit from centralized, searchable archival with advanced logic and scaling.
What types of tasks can I perform by integrating Google Cloud Storage with PostgreSQL?
Integrating Google Cloud Storage with PostgreSQL allows you to perform various tasks, including:
- Backing up Google Cloud Storage metadata into a PostgreSQL database.
- Automatically generating database reports from stored Google Cloud Storage data.
- Synchronizing file storage information with database inventory records.
- Creating a searchable index of your Google Cloud Storage files in PostgreSQL.
- Triggering database updates when new files are uploaded to Google Cloud Storage.
How secure is the Google Cloud Storage connection on Latenode?
Latenode uses secure authentication protocols and encryption to protect your Google Cloud Storage and PostgreSQL credentials and data during workflow execution.
Are there any limitations to the Google Cloud Storage and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers may be subject to Google Cloud Storage's API rate limits.
- Complex data transformations may require JavaScript knowledge for optimal performance.
- PostgreSQL database size limits could affect the amount of metadata you can store.