Connect Freshservice and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Freshservice
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of Freshservice and Fivetran
Enable Integrations or automations with these events of Freshservice and Fivetran
Actions
Create Requestor
Allows you to create a Requester in Freshservice for your support domain.
Add Notes to a Ticket
Creates a ticket approval request.
Create Ticket
Create a Freshservice support ticket with subject, description, requester email, priority, status, and optional fields.
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Frequently Asked Questions
To start, connect both your Freshservice and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Freshservice triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Freshservice 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 Freshservice 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 Freshservice 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 Freshservice
Integrate with Freshservice to streamline IT services and manage incidents, changes, assets, and more efficiently.
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.
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