Fibery and Microsoft SQL Server Integration

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Sync Fibery project data to Microsoft SQL Server for BI and reporting. Latenode's visual editor simplifies complex data transformations, while affordable execution-based pricing makes scaling workflows budget-friendly.

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Fibery

Microsoft SQL Server

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Fibery and Microsoft SQL Server

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

Add the Fibery Node

Select the Fibery node from the app selection panel on the right.

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Configure the Fibery

Click on the Fibery node to configure it. You can modify the Fibery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Microsoft SQL Server Node

Next, click the plus (+) icon on the Fibery 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.

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Configure the Fibery 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.

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Set Up the Fibery 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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Save and Activate the Scenario

After configuring Fibery, 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 Fibery and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Fibery 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 Fibery and Microsoft SQL Server

Fibery + Microsoft SQL Server + Slack: When a new or updated entity (feature request) is added to Fibery, its details are stored as a new row in a Microsoft SQL Server database. Then, a message is sent to a Slack channel notifying the team about the new feature request.

Microsoft SQL Server + Fibery + Jira: When a new or updated row is added to SQL Server (representing a database error), a bug report is created in Fibery. Then, a Jira issue is created and linked to the Fibery bug report, for full issue tracking.

Fibery and Microsoft SQL Server integration alternatives

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.

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.

See how Latenode works

FAQ Fibery and Microsoft SQL Server

How can I connect my Fibery account to Microsoft SQL Server using Latenode?

To connect your Fibery account to Microsoft SQL Server on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Fibery and click on "Connect".
  • Authenticate your Fibery and Microsoft SQL Server accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync Fibery projects with SQL Server databases?

Yes, you can! Latenode lets you visually map Fibery data to SQL Server tables, ensuring real-time synchronization. This centralized view enables comprehensive reporting across platforms.

What types of tasks can I perform by integrating Fibery with Microsoft SQL Server?

Integrating Fibery with Microsoft SQL Server allows you to perform various tasks, including:

  • Automatically backing up Fibery data to a SQL Server database.
  • Creating dashboards in SQL Server from Fibery project metrics.
  • Synchronizing user accounts between Fibery and SQL Server.
  • Triggering SQL Server stored procedures from Fibery events.
  • Populating Fibery entities with data from SQL Server queries.

How do I handle errors between Fibery and SQL Server on Latenode?

Latenode offers robust error handling. You can configure alerts and automated retries, ensuring data integrity between Fibery and SQL Server.

Are there any limitations to the Fibery and Microsoft SQL Server integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require custom JavaScript code.
  • Initial data synchronization can be time-consuming for large datasets.
  • Real-time updates depend on the responsiveness of Fibery and SQL Server APIs.

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