Integrations PostgreSQL customer fields
PostgreSQL + customer fields

Connect PostgreSQL and customer fields to Build Intelligent Automations

Choose a Trigger

PostgreSQL

When this happens...

Choose an Action

customer fields

Automatically do this!

Enable Integrations or automations with these events of PostgreSQL and customer fields

Enable Integrations or automations with these events of PostgreSQL and customer fields

Triggers

Postgresql (mutiple table)

Postgresql (mutiple table)

Get all the data, which was updated in last 15 min, from all the table provided.

Request a new Trigger for PostgreSQL

Actions

Execute a Query (advanced)

Execute a Query (advanced)

You can select, create, update or delete row(s) of table via custom SQL query.

Insert row

Insert row

Adds a new row into the table.

Request a new Action for PostgreSQL

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Frequently Asked Questions

How do I start an integration between PostgreSQL and customer fields?

To start, connect both your PostgreSQL and customer fields accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in customer fields (or vice versa).

Can we customize how data from PostgreSQL is recorded in customer fields?

Absolutely. You can customize how PostgreSQL data is recorded in customer fields. This includes choosing which data fields go into which fields of customer fields, setting up custom formats, and filtering out unwanted information.

How often does the data sync between PostgreSQL and customer fields?

The data sync between PostgreSQL and customer fields typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from PostgreSQL to customer fields?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between PostgreSQL and customer fields?

Yes, you can set conditional logic to control the flow of data between PostgreSQL and customer fields. 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.