Connect KIXIE and Databricks to Build Intelligent Automations
Choose a Trigger
When this happens...
Call Ended
Call Started
Choose an Action
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Call Ended
Triggers your workflow when a Kixie voice call ends.
Call Started
Notifies the configured webhook when a call begins, delivering key call details.
Do thisActions
Action is the task that follows automatically within your KIXIE integrations.
Send a Team SMS
Sends auto-sms from a Team SMS Inbox phone number.
Send to Queue
Send a call to a queue
Make a Call
Places an outbound call through Kixie PowerCall.
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.
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Frequently Asked Questions
To start, connect both your KIXIE and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in KIXIE triggers actions in Databricks (or vice versa).
Absolutely. You can customize how KIXIE 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.
The data sync between KIXIE and Databricks 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 KIXIE 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.
About KIXIE
Seamlessly integrated voice and powerful automation tools designed for high-performing sales and customer support teams.
Learn MoreAbout 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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