How to connect PostgreSQL and Streamtime
Create a New Scenario to Connect PostgreSQL and Streamtime
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Streamtime will be your first step. To do this, click "Choose an app," find PostgreSQL or Streamtime, and select the appropriate trigger to start the scenario.

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


PostgreSQL

Configure the PostgreSQL
Click on the PostgreSQL node to configure it. You can modify the PostgreSQL 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 PostgreSQL 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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Streamtime

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 PostgreSQL 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 PostgreSQL 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 donβt 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.

JavaScript
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AI Anthropic Claude 3
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Streamtime
Trigger on Webhook
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PostgreSQL
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring PostgreSQL, Streamtime, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the PostgreSQL and Streamtime integration works as expected. Depending on your setup, data should flow between PostgreSQL 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 PostgreSQL and Streamtime
Streamtime + PostgreSQL + Slack: When a new job is created in Streamtime, the details are inserted into a PostgreSQL database, and a notification is sent to a designated Slack channel to alert the team.
Streamtime + PostgreSQL + Google Sheets: When a job is updated in Streamtime, the information is backed up to a PostgreSQL database. A summary of job information is then added as a new row in a Google Sheet for reporting purposes.
PostgreSQL and Streamtime integration alternatives

About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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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 PostgreSQL and Streamtime
How can I connect my PostgreSQL account to Streamtime using Latenode?
To connect your PostgreSQL account to Streamtime on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PostgreSQL and click on "Connect".
- Authenticate your PostgreSQL and Streamtime accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync Streamtime project data into PostgreSQL automatically?
Yes, you can! Latenode's visual editor simplifies data synchronization. Automate project data transfer, centralize insights, and improve reporting without complex coding.
What types of tasks can I perform by integrating PostgreSQL with Streamtime?
Integrating PostgreSQL with Streamtime allows you to perform various tasks, including:
- Automatically backing up Streamtime project data to PostgreSQL.
- Creating custom reports combining data from both platforms.
- Triggering Streamtime actions based on PostgreSQL data changes.
- Synchronizing customer data between Streamtime and PostgreSQL.
- Alerting stakeholders of project updates via PostgreSQL triggers.
Can I use custom SQL queries with my PostgreSQL database on Latenode?
Yes, Latenode allows you to execute custom SQL queries, providing powerful data manipulation and extraction capabilities directly within your workflows.
Are there any limitations to the PostgreSQL and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require JavaScript coding.
- Initial setup requires understanding of both PostgreSQL and Streamtime data structures.
- Large data transfers may be subject to rate limits from either platform.