How to connect Microsoft SQL Server and Amazon SES
Create a New Scenario to Connect Microsoft SQL Server and Amazon SES
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or Amazon SES will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Amazon SES, and select the appropriate trigger to start the scenario.

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

Configure the Microsoft SQL Server
Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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 Microsoft SQL Server 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 donโt 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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Amazon SES
Trigger on Webhook
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Webhook response


Save and Activate the Scenario
After configuring Microsoft SQL Server, Amazon SES, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Microsoft SQL Server and Amazon SES integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server 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 Microsoft SQL Server and Amazon SES
Microsoft SQL Server + Slack: Monitor a Microsoft SQL Server database for new or updated rows based on a custom query. When changes occur, send a message to a designated Slack channel to alert the team about database maintenance completion or errors.
Amazon SES + Microsoft SQL Server + Google Sheets: When a bounce email event occurs in Amazon SES, log the details of the bounced email (recipient, timestamp, etc.) into a Microsoft SQL Server database. Then, periodically summarize the bounced email data from the database and update a Google Sheet with the summary information.
Microsoft SQL Server and Amazon SES integration alternatives

About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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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 โ simplifying email management and scaling your communication flows without coding.
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FAQ Microsoft SQL Server and Amazon SES
How can I connect my Microsoft SQL Server account to Amazon SES using Latenode?
To connect your Microsoft SQL Server account to Amazon SES on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and Amazon SES accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I send personalized emails based on SQL data?
Yes, you can! Latenode's data transformation and templating features enable personalized emails triggered by database changes, increasing engagement with relevant content.
What types of tasks can I perform by integrating Microsoft SQL Server with Amazon SES?
Integrating Microsoft SQL Server with Amazon SES allows you to perform various tasks, including:
- Sending email notifications upon specific database record updates.
- Generating personalized email campaigns from SQL Server data.
- Automating alert emails based on database performance metrics.
- Creating email reports from SQL Server data on a schedule.
- Sending transactional emails triggered by database events.
Can I use JavaScript code to transform SQL data before sending emails?
Yes! Latenode's JavaScript code blocks let you customize and enrich Microsoft SQL Server data before sending it via Amazon SES.
Are there any limitations to the Microsoft SQL Server and Amazon SES integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large SQL Server queries may impact workflow execution time.
- Amazon SES sending limits apply based on your SES account tier.
- Complex data transformations require JavaScript knowledge.