Microsoft SQL Server and Sendy Integration

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Automatically add or update Sendy subscribers directly from your Microsoft SQL Server database. Latenode's visual editor and affordable pay-by-execution pricing make managing email lists easier than ever, and custom JavaScript blocks handle any transformation.

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Microsoft SQL Server

Sendy

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SQL Server and Sendy

Create a New Scenario to Connect Microsoft SQL Server and Sendy

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 Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or Sendy will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Sendy, 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.

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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.

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Add the Sendy Node

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

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Authenticate Sendy

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

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Configure the Microsoft SQL Server and Sendy 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 Microsoft SQL Server and Sendy 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 Microsoft SQL Server, Sendy, 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 Microsoft SQL Server and Sendy integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Sendy (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 Sendy

Sendy + Microsoft SQL Server + Slack: When a Sendy subscriber's status changes (e.g., unsubscribe), a query is executed in Microsoft SQL Server to update the database. Afterwards, a Slack notification is sent to a designated channel.

Sendy + Microsoft SQL Server + Google Sheets: Monitor Sendy campaign performance. Data from Sendy is periodically pulled and stored in a Microsoft SQL Server database. This data is then used to update a Google Sheet, allowing for performance visualization and analysis.

Microsoft SQL Server and Sendy 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.

About Sendy

Use Sendy in Latenode to automate email campaigns without complex coding. Trigger campaigns based on events in other apps (CRM, e-commerce). Latenode lets you process data, filter recipients, and personalize emails with JavaScript or AI nodes before sending via Sendy. Scale outreach efficiently and track results within your workflows.

See how Latenode works

FAQ Microsoft SQL Server and Sendy

How can I connect my Microsoft SQL Server account to Sendy using Latenode?

To connect your Microsoft SQL Server account to Sendy 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 Sendy accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically add new SQL leads to Sendy?

Yes, you can! Latenode automates adding new Microsoft SQL Server leads to Sendy, ensuring your email lists are always up-to-date for targeted campaigns. Never miss a potential customer.

What types of tasks can I perform by integrating Microsoft SQL Server with Sendy?

Integrating Microsoft SQL Server with Sendy allows you to perform various tasks, including:

  • Automating email campaigns based on database triggers.
  • Segmenting Sendy lists using SQL query results.
  • Updating SQL records with Sendy campaign metrics.
  • Personalizing email content using SQL data.
  • Triggering transactional emails from SQL server events.

How secure is the Microsoft SQL Server integration on Latenode?

Latenode uses secure authentication protocols and encryption to protect your Microsoft SQL Server and Sendy data during integration.

Are there any limitations to the Microsoft SQL Server and Sendy integration on Latenode?

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

  • Large SQL queries may impact workflow speed.
  • Complex data transformations might require JavaScript knowledge.
  • Rate limits on the Sendy API can affect high-volume tasks.

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