Connect PostgreSQL and Google Vertex AI to Build Intelligent Automations
Choose a Trigger
When this happens...
Postgresql (mutiple table)
Choose an Action
Automatically do this!
- Request a new Action for Google Vertex AI
Enable Integrations or automations with these events of PostgreSQL and Google Vertex AI
Enable Integrations or automations with these events of PostgreSQL and Google Vertex AI
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.
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Frequently Asked Questions
To start, connect both your PostgreSQL and Google Vertex AI accounts to viaSocket. Once connected, you can set up a workflow where an event in PostgreSQL triggers actions in Google Vertex AI (or vice versa).
Absolutely. You can customize how PostgreSQL data is recorded in Google Vertex AI. This includes choosing which data fields go into which fields of Google Vertex AI, setting up custom formats, and filtering out unwanted information.
The data sync between PostgreSQL and Google Vertex AI 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 Google Vertex AI. 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 Google Vertex AI
Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with Vertex AI.
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