
When this happens...
New Expense
New Project
New Client
New Estimate
New Invoice
New Contracts
New Lead
New Task
New Payment
New Staff

Automatically do this!
Enable Integrations or automations with these events of Clientary and Fivetran
A new expense in Clientary.
Triggered when a new project is created in Clientary.
Triggered when a new client is created in Clientary.
Triggered when a new estimate is created in Clientary.
A new invoice is created in Clientary.
An individual Contracts within Clientary.
Create a new client in Clientary.
Create a new expense in Clientary.
Create a task inside Clientary.
Create A New Entry.
Create A New Invoice Payment.
Update an exsiting expense.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Clientary and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Clientary triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Clientary 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 Clientary 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 Clientary 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.
Online invoicing and time tracking for small businesses and freelancers. Clientary helps you get paid quicker and painlessly helps you manage your staff and projects.
Learn MoreFivetran 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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