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


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Authenticate Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.
Configure the Microsoft SQL Server and Streamtime 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 Streamtime 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, Streamtime, 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 Streamtime integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Streamtime (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 Streamtime
Microsoft SQL Server + Streamtime + Slack: When a new project is added to the SQL database, the automation creates a corresponding job in Streamtime and sends a notification in Slack to inform the team.
Streamtime + Microsoft SQL Server + Google Sheets: This flow backs up Streamtime job data to an SQL database whenever a job is created. Subsequently, key metrics are extracted from the SQL database and synced to a Google Sheet for reporting.
Microsoft SQL Server and Streamtime 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 Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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See how Latenode works
FAQ Microsoft SQL Server and Streamtime
How can I connect my Microsoft SQL Server account to Streamtime using Latenode?
To connect your Microsoft SQL Server account to Streamtime 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 Streamtime accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Streamtime projects from SQL data?
Yes, you can! Latenode's visual editor makes it easy to sync data changes in Microsoft SQL Server directly to Streamtime, keeping your project data current automatically.
What types of tasks can I perform by integrating Microsoft SQL Server with Streamtime?
Integrating Microsoft SQL Server with Streamtime allows you to perform various tasks, including:
- Create new Streamtime projects based on new SQL Server entries.
- Update existing Streamtime tasks with data from Microsoft SQL Server.
- Extract project data from Streamtime and store it in SQL Server.
- Automate reporting by combining data from both platforms.
- Trigger Streamtime actions based on custom SQL Server queries.
Can I use custom SQL queries to filter data in Latenode?
Yes, Latenode lets you use custom SQL queries for precise data filtering before passing it to Streamtime, enhancing control and accuracy.
Are there any limitations to the Microsoft SQL Server and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require advanced JavaScript knowledge for optimal use.
- Large data transfers can be subject to rate limits imposed by Streamtime's API.
- Custom field mapping may need manual configuration for specific data types.