
When this happens...
New Records Created or Updated
New Records Created

Automatically do this!
Enable Integrations or automations with these events of Airtable and Birst
Trigger when new record is created or updated in your table.
Trigger when new record is created in your table.
list all records
Delete an existing record.
Update an Existing record.
list a record by Record ID
Use a simple field value for search, an Airtable formula to find a record, or create a new record.
Create a new record.

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Gain insights into how viaSocket functions through our detailed guide. Understand its key features and benefits to maximize your experience and efficiency.
To start, connect both your Airtable and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Airtable triggers actions in Birst (or vice versa).
Absolutely. You can customize how Airtable data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Airtable and Birst 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 Airtable and Birst. 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.
Airtable is a cloud-based platform for creating and sharing relational databases. The user-friendly interface allows anyone to spin up a database in minutes.
Learn MoreBirst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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