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


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


Save and Activate the Scenario
After configuring Microsoft SQL Server, Insightly, 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 Insightly integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Insightly (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 Insightly
Microsoft SQL Server + Insightly + Slack: When a new or updated row is added to SQL Server, find the corresponding Opportunity in Insightly. If a matching opportunity is found, a message is sent to a designated Slack channel to notify the team about the update.
Insightly + Microsoft SQL Server + Google Sheets: When a new lead is created in Insightly, relevant lead data and corresponding financial data from Microsoft SQL Server are extracted and added as a new row in a Google Sheet for sales performance tracking.
Microsoft SQL Server and Insightly 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 Insightly
Sync Insightly CRM with other apps inside Latenode to automate sales processes. Update records, trigger follow-ups, or create tasks based on new leads or deals. Latenode offers flexible logic, custom JavaScript, and direct data transfer between Insightly and other services, improving your sales workflow without code.
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See how Latenode works
FAQ Microsoft SQL Server and Insightly
How can I connect my Microsoft SQL Server account to Insightly using Latenode?
To connect your Microsoft SQL Server account to Insightly 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 Insightly accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Insightly contacts from SQL data?
Yes, you can! Latenode lets you build automated workflows that push updated customer data from Microsoft SQL Server to Insightly, keeping your CRM current and enabling data-driven decisions.
What types of tasks can I perform by integrating Microsoft SQL Server with Insightly?
Integrating Microsoft SQL Server with Insightly allows you to perform various tasks, including:
- Create new Insightly contacts from new Microsoft SQL Server database entries.
- Update Insightly opportunity details based on changes in SQL Server data.
- Trigger Insightly marketing campaigns based on SQL Server data thresholds.
- Log SQL Server activity as notes within Insightly contact records.
- Synchronize product inventory data between SQL Server and Insightly.
How secure is my SQL Server data when using Latenode?
Latenode employs robust encryption and secure authentication methods to safeguard your Microsoft SQL Server data during integration and transit.
Are there any limitations to the Microsoft SQL Server and Insightly 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 may require optimization for efficient processing.
- Custom Insightly fields need manual mapping in the workflow editor.