Connect Databricks and Paddle to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Databricks
Choose an Action
Automatically do this!
Create Customer
Update Customer
Generate Customer Authentication Token
Create an Address
Update an Address
Create a Business
Create a Price
Search Product Price
Search Events
Search Customer
Search Products
Create a Discount
Search Discount
Update Discount
Search Price
Create a Discount Group
Update a Price
Update a Product
Update a Business
Ready to use Databricks and Paddle automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer
Detects and returns customers newly created in Paddle since the last check (defaults to the past 15 minutes), ordered newest first.
New Address
Trigger when a new address is added for the selected Paddle customer. Returns addresses created since the last check.
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 Customer
Creates a new customer in Paddle.
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Frequently Asked Questions
To start, connect both your Databricks and Paddle accounts to viaSocket. Once connected, you can set up a workflow where an event in Databricks triggers actions in Paddle (or vice versa).
Absolutely. You can customize how Databricks data is recorded in Paddle. This includes choosing which data fields go into which fields of Paddle, setting up custom formats, and filtering out unwanted information.
The data sync between Databricks and Paddle 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 Paddle. 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 Paddle
Paddle is a comprehensive commerce platform designed to help software companies manage their billing, subscription, and payment processes. It offers a range of tools to streamline revenue operations, including payment processing, tax compliance, and customer management, making it easier for businesses to scale globally.
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