
When this happens...
Record Is Added Or Updated
New Record Is Created

Automatically do this!
Create PubSub Topic
List Pub/Sub Topics
List Project Subscriptions
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when record is added or updated in a table.
Runs when new record is created
Action is the task that follows automatically within your Teable integrations.
Delete one or more records from a table and return the deleted items with clear field names.
Creates a new entry in the selected table.
Updates a record in Teable with the provided field values.
Gets a single record from a table by its record ID.
Create a Pub/Sub topic to receive and route messages.
List all Pub/Sub topics

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To start, connect both your Teable and Google Cloud Pub/Sub accounts to viaSocket. Once connected, you can set up a workflow where an event in Teable triggers actions in Google Cloud Pub/Sub (or vice versa).
Absolutely. You can customize how Teable data is recorded in Google Cloud Pub/Sub. This includes choosing which data fields go into which fields of Google Cloud Pub/Sub, setting up custom formats, and filtering out unwanted information.
The data sync between Teable and Google Cloud Pub/Sub 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 Teable and Google Cloud Pub/Sub. 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.
Teable is an AI-powered platform designed to enhance productivity and collaboration through intelligent task management and automation solutions.
Learn MoreGoogle Cloud Pub/Sub is a messaging service that allows you to send and receive messages between independent applications. It enables real-time messaging and event-driven architectures, making it ideal for building scalable and reliable systems.
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