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


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Authenticate Straker Verify
Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.
Configure the Microsoft SQL Server and Straker Verify 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 Straker Verify 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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Save and Activate the Scenario
After configuring Microsoft SQL Server, Straker Verify, 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 Straker Verify integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Straker Verify (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 Straker Verify
Straker Verify + Microsoft SQL Server + Slack: When a translation is verified in Straker Verify, the automation retrieves related project details from Microsoft SQL Server and sends a notification with this information to a designated Slack channel.
Straker Verify + Microsoft SQL Server + Google Sheets: Upon translation verification in Straker Verify, project information is fetched from a Microsoft SQL Server database. The verified translation data along with project details are then logged into a Google Sheet for record-keeping and analysis.
Microsoft SQL Server and Straker Verify 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 Straker Verify
Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.
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See how Latenode works
FAQ Microsoft SQL Server and Straker Verify
How can I connect my Microsoft SQL Server account to Straker Verify using Latenode?
To connect your Microsoft SQL Server account to Straker Verify 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 Straker Verify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate translation QA workflows using Microsoft SQL Server and Straker Verify integration?
Yes, you can! Latenode enables automated workflows, triggering Straker Verify QA from Microsoft SQL Server data changes, improving translation quality and efficiency.
What types of tasks can I perform by integrating Microsoft SQL Server with Straker Verify?
Integrating Microsoft SQL Server with Straker Verify allows you to perform various tasks, including:
- Automatically submit new Microsoft SQL Server records for translation via Straker Verify.
- Update Microsoft SQL Server database with translation quality scores from Straker Verify.
- Trigger alerts based on Straker Verify quality scores stored in Microsoft SQL Server.
- Create reports on translation quality metrics sourced from both platforms.
- Synchronize terminology between Microsoft SQL Server and Straker Verify glossaries.
Can I use custom SQL queries to filter data before sending it to Straker Verify?
Yes, Latenode lets you execute custom SQL queries for precise data extraction before translation, ensuring only relevant content is processed, improving accuracy.
Are there any limitations to the Microsoft SQL Server and Straker Verify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Microsoft SQL Server may impact workflow execution speed.
- Complex Straker Verify configurations may require custom JavaScript code.
- Real-time synchronization depends on the polling interval configured in Latenode.