Connect Databricks and Aircall to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Databricks
Choose an Action
Automatically do this!
Create a User
Update a User
Delete a User
Create a Contact
Check availability of a User
Retrieve a User
Start an outbound call
Update a Contact
Create a Team
Delete a Team
Add a User to a Team
Remove a User from a Team
Retrieve a Team
Delete a Contact
Create a Tag
Update a Tag
Delete a Tag
Retrieve a Tag
Add Phone Number to a Contact
Add Email to a Contact
Ready to use Databricks and Aircall automations
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Contact
Triggers when a new contact is created
Delete Contact
Triggers when a new team is deleted
Update Contact
Triggers when an existing contact is updated
New User
Triggers when a new user is created
Delete User
Triggers when a new user is deleted
Delete Number
Triggers when a number is deleted
Do thisActions
Action is the task that follows automatically within your Databricks integrations.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
Delete a Job
This action deletes a job by ID.
Create a Repo
Creates a repo in the workspace and links it to the remote Git repo specified.
Delete Repo
Delete a Repo
Create a User
Creates a new user
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Frequently Asked Questions
To start, connect both your Databricks and Aircall accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Aircall (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Aircall. This includes choosing which data fields go into which fields of Aircall, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Aircall 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 Databricks and Aircall. 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 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.
Learn MoreAbout 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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