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Baserow and Databricks integration
Save yourself the work of writing custom integrations for Baserow and Databricks and use n8n instead. Build adaptable and scalable Data & Storage, workflows that work with your technology stack. All within a building experience you will love.
How to connect Baserow 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 Baserow and Databricks integration
Create custom Baserow 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.
Baserow supported actions
Batch Create
Create up to 200 rows in one request
Batch Delete
Delete up to 200 rows in one request
Batch Update
Update up to 200 rows in one request
Create
Create a row
Delete
Delete a row
Get
Retrieve a row
Get Many
Retrieve many rows
Update
Update a row
Databricks supported actions
Execute Query
Execute a SQL query and wait for results
Create Directory
Create a directory in volume
Delete Directory
Delete a directory in volume
Delete File
Delete a file from a volume
Download File
Download file content from a volume
Get File Metadata
Get file metadata from a volume
List Directory
List directory contents in volume
Upload File
Upload a file (up to 5 GiB) to Databricks volumes
Create Conversation Message
Create a new conversation message
Execute Message SQL Query
Execute a SQL query from a message attachment
Get Conversation Message
Get a conversation message by ID
Get Genie Space
Get details of a Genie space
Get Query Results
Get results of a SQL query execution
Start Conversation
Start a new conversation
Query Endpoint
Query a serving endpoint. The input format is automatically detected from the endpoint schema.
Create Catalog
Create a new catalog
Create Function
Create a new function
Create Table
Register a new table
Create Volume
Create a new volume
Delete Catalog
Delete a catalog
Delete Function
Delete a function
Delete Table
Delete a table
Delete Volume
Delete a volume
Get Catalog
Get catalog information
Get Function
Get function information
Get Table
Get table information
Get Volume
Get volume information
List Catalogs
List all catalogs
List Functions
List functions in schema
List Tables
List tables in schema
List Volumes
List volumes in schema
Update Catalog
Update catalog information
Create Index
Create a new vector search index
Get Index
Get details of a vector search index
List Indexes
List all vector search indexes
Query Index
Query a vector search index with text or vectors
Baserow and Databricks integration details
Databricks
Related categories
Other integrations with Baserow
FAQs
FAQ
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