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


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Authenticate Fibery
Now, click the Fibery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fibery settings. Authentication allows you to use Fibery through Latenode.
Configure the Microsoft SQL Server and Fibery 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 Fibery 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, Fibery, 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 Fibery integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Fibery (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 Fibery
Microsoft SQL Server + Fibery + Slack: This automation monitors a Microsoft SQL Server database for new or updated rows. When a critical bug is detected, the information is used to create a new entity (bug report) in Fibery. Finally, a Slack message is sent to the project managers to alert them of the new bug.
Fibery + Microsoft SQL Server + Google Sheets: This automation synchronizes project data from Fibery to a Microsoft SQL Server database by inserting new rows. After the data is synchronized to SQL Server, a Google Sheet is updated with results from the SQL Server, enabling custom reporting.
Microsoft SQL Server and Fibery 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 Fibery
Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.
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See how Latenode works
FAQ Microsoft SQL Server and Fibery
How can I connect my Microsoft SQL Server account to Fibery using Latenode?
To connect your Microsoft SQL Server account to Fibery 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 Fibery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync SQL database changes to Fibery features?
Yes, with Latenode! Automatically update Fibery features based on SQL Server data changes. This ensures real-time alignment between your data and project management, saving time and improving accuracy.
What types of tasks can I perform by integrating Microsoft SQL Server with Fibery?
Integrating Microsoft SQL Server with Fibery allows you to perform various tasks, including:
- Automatically create new Fibery features from SQL Server database entries.
- Update existing Fibery items based on changes in your SQL Server database.
- Generate reports in Fibery using data extracted from Microsoft SQL Server.
- Trigger custom notifications in Fibery based on specific SQL Server events.
- Synchronize user data between Microsoft SQL Server and Fibery user accounts.
How secure is connecting Microsoft SQL Server through Latenode?
Latenode employs robust encryption and secure authentication protocols to protect your Microsoft SQL Server credentials and data during integration.
Are there any limitations to the Microsoft SQL Server and Fibery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may experience delays depending on your server resources.
- Complex SQL queries might require optimization for optimal performance.
- Custom Fibery field types may need specific data mapping configurations.