Connect PostgreSQL and Sisense to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
- Request a new Action for Sisense
Enable Integrations or automations with these events of PostgreSQL and Sisense
Enable Integrations or automations with these events of PostgreSQL and Sisense
Triggers
Postgresql (mutiple table)
Get all the data, which was updated in last 15 min, from all the table provided.
Actions
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.
Know More About Postgresql and Sisense Integrations
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Frequently Asked Questions
To start, connect both your PostgreSQL and Sisense accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Sisense (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Sisense. This includes choosing which data fields go into which fields of Sisense, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Sisense 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 Sisense. 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 Sisense
Sisense is a leading business intelligence and data analytics platform that empowers organizations to make data-driven decisions. It provides powerful tools for data visualization, reporting, and dashboard creation, enabling users to transform complex data into actionable insights. With its user-friendly interface and robust analytics capabilities, Sisense helps businesses of all sizes to harness the power of their data for strategic growth and operational efficiency.
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