Nimble and Microsoft SQL Server Integration

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Sync Nimble contacts to Microsoft SQL Server for enriched reporting and insights. Latenode's visual editor simplifies the data flow, and affordable execution-based pricing makes scaling these automations practical.

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Nimble

Microsoft SQL Server

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Nimble and Microsoft SQL Server

Create a New Scenario to Connect Nimble and Microsoft SQL Server

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 Nimble, triggered by another scenario, or executed manually (for testing purposes). In most cases, Nimble or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Nimble or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Nimble Node

Select the Nimble node from the app selection panel on the right.

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Configure the Nimble

Click on the Nimble node to configure it. You can modify the Nimble URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Microsoft SQL Server Node

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

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Authenticate Microsoft SQL Server

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

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Configure the Nimble and Microsoft SQL Server 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 Nimble and Microsoft SQL Server 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 Nimble, Microsoft SQL Server, 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 Nimble and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Nimble and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Nimble and Microsoft SQL Server

Nimble + Microsoft SQL Server + Google Sheets: When a new contact is created in Nimble, the contact information is added to a Microsoft SQL Server database. Then, a summary of the lead status is created and added as a new row in a Google Sheet.

Microsoft SQL Server + Nimble + Slack: When a row is updated in a Microsoft SQL Server database, the flow checks if it's a contact in Nimble using the contact's email. If a match is found, a message is sent to a Slack channel alerting the sales team of the database change and provides the contact's Nimble profile link.

Nimble and Microsoft SQL Server integration alternatives

About Nimble

Use Nimble within Latenode to enrich contact data and automate outreach. Update your CRM, personalize emails, and trigger follow-ups based on engagement—all visually. Latenode handles the workflow logic and scale, while Nimble provides targeted contact intelligence for smarter automation.

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.

See how Latenode works

FAQ Nimble and Microsoft SQL Server

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

To connect your Nimble account to Microsoft SQL Server on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Nimble and click on "Connect".
  • Authenticate your Nimble and Microsoft SQL Server accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync new Nimble contacts to Microsoft SQL Server?

Yes, you can! Latenode automates the process, instantly syncing new Nimble contacts as rows in your SQL Server database. This helps maintain consistent data across systems with no manual work.

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

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

  • Backing up Nimble contacts to a secure SQL Server database.
  • Updating Nimble contacts based on SQL Server data changes.
  • Creating custom reports using combined Nimble and SQL Server data.
  • Triggering Nimble actions based on SQL Server database events.
  • Importing leads from SQL Server into Nimble for outreach.

HowcanItransformNimbledataformatsbeforeinsertingintoSQLServer?

Latenode lets you use JavaScript or AI to transform Nimble data before SQL Server insertion. This ensures data matches your schema and remains accurate.

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

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

  • Complex data transformations may require JavaScript coding.
  • Initial synchronization of large datasets can take time.
  • API rate limits on Nimble may affect high-volume operations.

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