Integrations PostgreSQL Waveline Extract
PostgreSQL + Waveline Extract

Connect PostgreSQL and Waveline Extract to Build Intelligent Automations

Choose a Trigger

PostgreSQL

When this happens...

Choose an Action

Waveline Extract

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

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

Do thisActions

Action is the task that follows automatically within your PostgreSQL integrations.

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.

Create Job - Extract Document

Create Job - Extract Document

Create the job to extracts data(JSON) from your document.

Get Job

Get Job

Get the result of a job you created earlier with Extract Document

Request a new Action for PostgreSQL

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Frequently Asked Questions

How do I start an integration between PostgreSQL and Waveline Extract?

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

Can we customize how data from PostgreSQL is recorded in Waveline Extract?

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

How often does the data sync between PostgreSQL and Waveline Extract?

The data sync between PostgreSQL and Waveline Extract 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 Waveline Extract?

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 Waveline Extract?

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