ChartMogul and Databricks integration
Save yourself the work of writing custom integrations for ChartMogul and Databricks and use n8n instead. Build adaptable and scalable workflows that work with your technology stack. All within a building experience you will love.
How to connect ChartMogul and Databricks
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own ChartMogul and Databricks integration
Create custom ChartMogul and Databricks workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
What can you do with ChartMogul?
Get Account Details
Create a Contact
Delete a Contact
List Contacts
Retrieve a Contact
Update a Contact
Add Contact to Customer
Create a Customer
Delete a Customer
List Customer's Activities
List Customer's Invoices
List Customers
List Customers by Email
Merge Customers
Retrieve a Customer
Unmerge Customers
Update a Customer
Add Custom Attributes to a Customer
Add Custom Attributes to a Customer by Email
Add Tags to a Customer
Add Tags to a Customer by Email
Remove Custom Attributes From a Customer
Remove Tags From a Customer
Retrieve Customer's Tags and Attributes
Create a Note or Call Log
Delete a Note or Call Log
List Notes and Call Logs
Retrieve a Note or Call Log
Update a Note or Call Log
Create an Opportunity
Delete an Opportunity
List Opportunities
Retrieve an Opportunity
Update an Opportunity
Create a Source
List Sources
Retrieve a Source
Delete a Source
Create a Task
Delete a Task
List Tasks
Retrieve a Task
Update a Task
Supported API Endpoints for Databricks
List clusters
Retrieve a list of all the clusters in your Databricks workspace.
Create cluster
Creates a cluster with the specified Databricks Runtime version and cluster node type.
Delete cluster
Permanently deletes a cluster from your Databricks workspace.
Delete cluster
Permanently deletes the cluster with the specified cluster ID from the workspace.
Create cluster
Creates a new cluster in the Databricks workspace.
Create job
Creates a Databricks job that runs the specified notebook on the specified cluster.
Create directory
Creates an empty folder in a volume.
Upload file
Uploads a file to a volume.
List directory contents
Lists the contents of a volume.
Delete file
Deletes a file from a volume.
Delete directory
Deletes a folder from a volume.
List groups
Lists the display names for all of the available groups within the Databricks account.
To set up Databricks integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Databricks to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!
ChartMogul and Databricks integration details
FAQ
Can ChartMogul connect with Databricks?
Can I use ChartMogul’s API with n8n?
Can I use Databricks’s API with n8n?
Is n8n secure for integrating ChartMogul and Databricks?
How to get started with ChartMogul and Databricks integration in n8n.io?
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