Connect Streamtime and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Streamtime
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of Streamtime and Fivetran
Enable Integrations or automations with these events of Streamtime and Fivetran
Actions
Create Personal ToDo
Creates a new Personal To-Do record in the system.
Create Job Comment
Adds a comment to a job.
Create Job
Creates a new Job in the system.
Create Label
Add a label to a Job,Quote,Invoice,Logged Expense,Company,Contact and User.
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Frequently Asked Questions
To start, connect both your Streamtime and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Streamtime triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Streamtime data is recorded in Fivetran. This includes choosing which data fields go into which fields of Fivetran, setting up custom formats, and filtering out unwanted information.
The data sync between Streamtime and Fivetran typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Streamtime and Fivetran. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Streamtime
Streamtime is a project management and time tracking tool designed for creative teams. It helps streamline workflows, manage tasks, and track time efficiently, making it ideal for agencies and creative professionals.
Learn MoreAbout Fivetran
Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.
Learn More
