How to connect Microsoft SQL Server and Pipedrive
Create a New Scenario to Connect Microsoft SQL Server and Pipedrive
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 Pipedrive will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Pipedrive, 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 Pipedrive Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Pipedrive from the list of available apps, and choose the action you need from the list of nodes within Pipedrive.


Microsoft SQL Server
⚙

Pipedrive


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

JavaScript
⚙
AI Anthropic Claude 3
⚙

Pipedrive
Trigger on Webhook
⚙

Microsoft SQL Server
⚙
⚙
Iterator
⚙
Webhook response


Save and Activate the Scenario
After configuring Microsoft SQL Server, Pipedrive, 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 Pipedrive integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Pipedrive (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 Pipedrive
Microsoft SQL Server + Pipedrive + Slack: When a new or updated row appears in Microsoft SQL Server, create a new lead in Pipedrive and then send a Slack message to a designated channel to notify the sales team about the new lead.
Pipedrive + Microsoft SQL Server + Google Sheets: When a deal is updated in Pipedrive, the deal information is updated in Microsoft SQL Server. After the update, the relevant deal data is added as a new row to a Google Sheet for reporting purposes.
Microsoft SQL Server and Pipedrive 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.
Similar apps
Related categories

About Pipedrive
Sync Pipedrive with Latenode to automate sales workflows. Update deals, create activities, or trigger personalized emails based on deal stages. Use Latenode's visual editor and JavaScript node to build custom lead qualification and routing logic. Scale your sales automation without complex code or per-step pricing limits.
Similar apps
Related categories
See how Latenode works
FAQ Microsoft SQL Server and Pipedrive
How can I connect my Microsoft SQL Server account to Pipedrive using Latenode?
To connect your Microsoft SQL Server account to Pipedrive 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 Pipedrive accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Pipedrive deals from SQL data?
Yes, you can! Latenode’s visual editor makes it easy to update Pipedrive deals based on changes in your Microsoft SQL Server database, keeping your sales pipeline accurate and up-to-date automatically.
What types of tasks can I perform by integrating Microsoft SQL Server with Pipedrive?
Integrating Microsoft SQL Server with Pipedrive allows you to perform various tasks, including:
- Creating new Pipedrive leads from new SQL Server entries.
- Updating contact information in Pipedrive based on SQL data.
- Triggering email campaigns when SQL data meets conditions.
- Generating reports combining data from both platforms.
- Backing up Pipedrive data to Microsoft SQL Server.
What Microsoft SQL Server versions are compatible with Latenode?
Latenode supports connections to Microsoft SQL Server 2008 and later, including Azure SQL Database, ensuring broad compatibility and flexibility.
Are there any limitations to the Microsoft SQL Server and Pipedrive integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Complex SQL queries might require optimization for best performance.
- Custom field mappings require careful configuration.