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

Add the Harvest Node
Select the Harvest node from the app selection panel on the right.


Harvest

Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Harvest 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.
Configure the Harvest 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.
Set Up the Harvest 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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Trigger on Webhook
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Webhook response


Save and Activate the Scenario
After configuring Harvest, 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 Harvest and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Harvest 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 Harvest and Microsoft SQL Server
Harvest + Microsoft SQL Server + Slack: When a new time entry is created in Harvest, the details are logged into a Microsoft SQL Server database. If the total time spent on the project is nearing the budget limit, a notification is sent to the project managers in Slack.
Microsoft SQL Server + Harvest + Power BI: On a weekly basis (using a time-based trigger in Latenode not represented by an explicit trigger), time data is extracted from Harvest via SQL Server. This data is used to update project profitability metrics and displayed in a Power BI report accessible through a link posted to a dedicated Slack channel.
Harvest and Microsoft SQL Server integration alternatives

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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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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FAQ Harvest and Microsoft SQL Server
How can I connect my Harvest account to Microsoft SQL Server using Latenode?
To connect your Harvest account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Harvest and click on "Connect".
- Authenticate your Harvest and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I synchronize Harvest time entries with SQL Server?
Yes, you can! Latenode's visual editor and JavaScript support makes syncing data easy. Track project costs, improve resource allocation, and generate detailed financial reports faster.
What types of tasks can I perform by integrating Harvest with Microsoft SQL Server?
Integrating Harvest with Microsoft SQL Server allows you to perform various tasks, including:
- Automatically backing up Harvest time entries to a SQL Server database.
- Creating custom reports combining Harvest data with other business metrics.
- Triggering database updates based on new Harvest project assignments.
- Synchronizing client data between Harvest and SQL Server.
- Generating invoices based on time tracked and stored in SQL Server.
HowdoIhandlecurrencyconversionswhenintegratingHarvestdata?
Latenode allows you to use JavaScript blocks to convert currencies on the fly, ensuring consistent data across your Harvest and SQL Server systems.
Are there any limitations to the Harvest and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time synchronization depends on Harvest's API rate limits.
- Complex data transformations may require JavaScript coding.
- Initial setup requires familiarity with both Harvest and SQL Server.