Connect PostgreSQL and Qlik to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
Create App
List All Spaces
Create Space
Copy App
List Items
Invite User
Ready to use PostgreSQL and Qlik automations
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 App
Create a new Qlik Sense app
List All Spaces
Get all spaces in tenant
Create Space
Create a new space in Qlik.
Copy App
Duplicate an existing Qlik app
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Frequently Asked Questions
To start, connect both your PostgreSQL and Qlik accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Qlik (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Qlik. This includes choosing which data fields go into which fields of Qlik, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Qlik 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 Qlik. 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 Qlik
Qlik is a powerful data analytics and business intelligence platform that helps organizations make data-driven decisions. It offers a range of tools for data visualization, reporting, and dashboard creation, enabling users to gain insights from their data quickly and efficiently.
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