Connect PostgreSQL and Spark Hire to Build Intelligent Automations

Choose a Trigger

PostgreSQL

When this happens...

Choose an Action

Spark Hire

Automatically do this!

Enable Integrations or automations with these events of PostgreSQL and Spark Hire

Enable Integrations or automations with these events of PostgreSQL and Spark Hire

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

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between PostgreSQL and Spark Hire?

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

Can we customize how data from PostgreSQL is recorded in Spark Hire?

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

How often does the data sync between PostgreSQL and Spark Hire?

The data sync between PostgreSQL and Spark Hire 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 Spark Hire?

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 Spark Hire?

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