Connect PostgreSQL and TimeTime.in to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
Create Tenant
Create User
Delete Resource
Delete Event Type
Send Upcoming Bookings
Ready to use PostgreSQL and TimeTime.in automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Do thisActions
Action is the task that follows automatically within your PostgreSQL integrations.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert row
Adds a new row into the table.
Create Tenant
Creates a tenant.
Create User
Creates a user.
Delete Resource
Delete an existing resource.
Delete Event Type
Delete an existing event type.
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Frequently Asked Questions
To start, connect both your PostgreSQL and TimeTime.in accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in TimeTime.in (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in TimeTime.in. This includes choosing which data fields go into which fields of TimeTime.in, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and TimeTime.in 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 PostgreSQL and TimeTime.in. 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 TimeTime.in
TimeTime.in is a comprehensive platform designed to streamline and enhance time tracking and management for individuals and businesses. It offers tools to efficiently monitor work hours, manage schedules, and improve productivity through detailed analytics and reporting features.
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