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


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Authenticate Harvest
Now, click the Harvest node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Harvest settings. Authentication allows you to use Harvest through Latenode.
Configure the Microsoft SQL Server and Harvest 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 Harvest 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, Harvest, 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 Harvest integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Harvest (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 Harvest
Harvest + Microsoft SQL Server + Slack: This automation monitors Harvest projects. When a project's time budget nears its limit (determined via SQL query), a Slack notification is sent to a designated channel.
Harvest + Microsoft SQL Server + Jira: This flow logs billable hours from Harvest into an SQL database using Harvest time entry triggers. When project estimates are exceeded (verified via SQL query), a Jira task is automatically created to address the overage.
Microsoft SQL Server and Harvest 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 Harvest
Automate time tracking with Harvest in Latenode. Sync time entries to accounting, payroll, or project management. Create flows that auto-generate invoices or trigger alerts for budget overruns. Latenode provides the flexibility to connect Harvest data to other apps and add custom logic, avoiding manual updates and delays.
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See how Latenode works
FAQ Microsoft SQL Server and Harvest
How can I connect my Microsoft SQL Server account to Harvest using Latenode?
To connect your Microsoft SQL Server account to Harvest 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 Harvest accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track project time in Harvest based on SQL Server data?
Yes, you can! Latenode lets you build a custom workflow that automatically creates time entries in Harvest using data pulled directly from your Microsoft SQL Server database. This saves time and reduces manual entry.
What types of tasks can I perform by integrating Microsoft SQL Server with Harvest?
Integrating Microsoft SQL Server with Harvest allows you to perform various tasks, including:
- Automatically create Harvest clients from new SQL Server customer records.
- Update project budgets in Harvest based on SQL Server financial data.
- Generate detailed time tracking reports using data from both platforms.
- Synchronize employee information between SQL Server and Harvest.
- Trigger invoice creation in Harvest when a SQL Server project milestone is reached.
Can I use custom SQL queries within Latenode workflows?
Yes, Latenode allows you to use custom SQL queries to retrieve specific data from your Microsoft SQL Server database for advanced Harvest automations.
Are there any limitations to the Microsoft SQL Server and Harvest integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Microsoft SQL Server might impact workflow speed.
- Complex SQL queries may require advanced knowledge for optimal performance.
- Harvest API rate limits can affect the frequency of data synchronization.