IntegrationsAircallDatabricks
Aircall + Databricks

Connect Aircall and Databricks to Build Intelligent Automations

Choose a Trigger

Aircall

When this happens...

Choose an Action

Databricks

Automatically do this!

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Contact

New Contact

Triggers when a new contact is created

Delete Contact

Delete Contact

Triggers when a new team is deleted

Update Contact

Update Contact

Triggers when an existing contact is updated

New User

New User

Triggers when a new user is created

Delete User

Delete User

Triggers when a new user is deleted

Delete Number

Delete Number

Triggers when a number is deleted

Do thisActions

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

Create a User

Create a User

Creates a new user

Update a User

Update a User

Updates a user

Delete a User

Delete a User

Deletes a user

Create a Contact

Create a Contact

Creates a new contact

Check availability of a User

Check availability of a User

Retrieve the detailed availability of a specific User

Retrieve a User

Retrieve a User

Retrieve details of a specific User.

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Frequently Asked Questions

How do I start an integration between Aircall and Databricks?

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

Can we customize how data from Aircall is recorded in Databricks?

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

How often does the data sync between Aircall and Databricks?

The data sync between Aircall and Databricks 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 Aircall to Databricks?

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 Aircall and Databricks?

Yes, you can set conditional logic to control the flow of data between Aircall and Databricks. 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.

Aircall

About Aircall

Aircall is a cloud-based call center and phone system software designed to help businesses manage and streamline their communication processes. It offers features such as call routing, call recording, and integration with various CRM and helpdesk tools, making it ideal for sales and support teams.

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Databricks

About Databricks

Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.

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