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

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

Google Cloud Firestore
Configure the Google Cloud Firestore
Click on the Google Cloud Firestore node to configure it. You can modify the Google Cloud Firestore URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Amazon SES Node
Next, click the plus (+) icon on the Google Cloud Firestore node, select Amazon SES from the list of available apps, and choose the action you need from the list of nodes within Amazon SES.

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Amazon SES

Authenticate Amazon SES
Now, click the Amazon SES node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon SES settings. Authentication allows you to use Amazon SES through Latenode.
Configure the Google Cloud Firestore and Amazon SES 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 Firestore and Amazon SES 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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Amazon SES
Trigger on Webhook
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Google Cloud Firestore
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Firestore, Amazon SES, 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 Firestore and Amazon SES integration works as expected. Depending on your setup, data should flow between Google Cloud Firestore and Amazon SES (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 Firestore and Amazon SES
Google Cloud Firestore + Amazon SES + Slack: When a new document is created in Google Cloud Firestore, send an email via Amazon SES to a predefined address. Upon successful email delivery, notify a Slack channel about the new document and sent email.
Amazon SES + Google Cloud Firestore + Google Sheets: When Amazon SES records a bounced email event, log the event details as a new document in Google Cloud Firestore. Then, add a new row to a Google Sheet summarizing the bounced email event data.
Google Cloud Firestore and Amazon SES integration alternatives
About Google Cloud Firestore
Use Google Cloud Firestore in Latenode to build real-time data workflows. Automate database tasks like data synchronization, backups, or event-driven updates without coding. Combine Firestore with AI tools and webhooks for powerful apps. Create complex workflows with simple visual tools and scale affordably with Latenode's pay-as-you-go pricing.
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About Amazon SES
Automate email sending with Amazon SES in Latenode. Send transactional emails, notifications, and marketing campaigns within your automated workflows. Use Latenode's visual editor to connect SES to other apps, add conditional logic, and handle bounces – simplifying email management and scaling your communication flows without coding.
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FAQ Google Cloud Firestore and Amazon SES
How can I connect my Google Cloud Firestore account to Amazon SES using Latenode?
To connect your Google Cloud Firestore account to Amazon SES on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Firestore and click on "Connect".
- Authenticate your Google Cloud Firestore and Amazon SES accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger emails based on Firestore data changes?
Yes, you can! Latenode's real-time triggers allow sending customized emails via Amazon SES whenever data is updated in Google Cloud Firestore, improving user engagement.
What types of tasks can I perform by integrating Google Cloud Firestore with Amazon SES?
Integrating Google Cloud Firestore with Amazon SES allows you to perform various tasks, including:
- Send welcome emails to new users stored in Google Cloud Firestore.
- Notify administrators of database updates via email.
- Email reports based on aggregated data from Google Cloud Firestore.
- Send password reset emails triggered by Firestore events.
- Alert users about approaching deadlines stored in Firestore.
How secure is the Firestore and Amazon SES integration on Latenode?
Latenode uses secure authentication and data encryption to protect your Google Cloud Firestore and Amazon SES credentials and data during integration.
Are there any limitations to the Google Cloud Firestore and Amazon SES integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Amazon SES sending limits still apply within Latenode workflows.
- Large data volumes can affect workflow execution speed.