Can Confluent connect with Databricks?

Yes, Confluent can connect with Databricks using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Confluent and Databricks. Configure nodes for Confluent and Databricks in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Confluent’s API with n8n?

Yes, with n8n, you can programmatically interact with Confluent’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Databricks’s API with n8n?

Yes, with n8n, you can programmatically interact with Databricks’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Confluent and Databricks?

Yes, it is safe to use n8n to integrate Confluent and Databricks. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Confluent and Databricks integration in n8n.io?

To start integrating Confluent and Databricks in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

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Confluent

Databricks

Confluent and Databricks integration

Save yourself the work of writing custom integrations for Confluent and Databricks and use n8n instead. Build adaptable and scalable Development, and Analytics workflows that work with your technology stack. All within a building experience you will love.

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How to connect Confluent and Databricks

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: 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.

Confluent and Databricks integration: Create a new workflow and add the first step

Step 2: Add and configure Confluent and Databricks nodes using the HTTP Request nodes

Add the HTTP Request nodes onto your workflow canvas. Set credentials for Confluent and Databricks as appropriate using generic authentication methods. The HTTP Request nodes make custom API calls to Confluent and Databricks to query the data you need. Configure nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Confluent and Databricks integration: Add and configure Confluent and Databricks nodes

Step 3: Connect Confluent and Databricks

A connection establishes a link between Confluent and Databricks (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Confluent and Databricks integration: Connect Confluent and Databricks

Step 4: Customize and extend your Confluent and Databricks integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Confluent and Databricks with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Confluent and Databricks integration: Customize and extend your Confluent and Databricks integration

Step 5: Test and activate your Confluent and Databricks workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Confluent and Databricks or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Confluent and Databricks integration: Test and activate your Confluent and Databricks workflow

Build your own Confluent and Databricks integration

Create custom Confluent 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.

Supported API Endpoints for Confluent

To set up Confluent 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 Confluent to query the data you need using the API endpoint URLs you provide.

Authors
Books
Topics
Users

List authors

Retrieve a list of authors sorted by title.

GET

/v1/authors

These 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 Confluent official documentation to get a full list of all API endpoints and verify the scraped ones!

View workflow

Or explore 800+ other templates here

Update book

Updates the book details for a specified author and title.

PUT

/v1/books

These API endpoints were generated using n8n

View workflow

Or explore 800+ other templates here

Create topic

Creates a new Kafka topic in the specified cluster.

POST

:8090/kafka/v3/clusters/7cteo6omRwKaUFXj3BHxdg/topics

Get topic partitions

Retrieve the partitions of the specified topic.

GET

:8090/kafka/v3/clusters/7cteo6omRwKaUFXj3BHxdg/topics/my-cool-topic/partitions

Get topic configs

Retrieve the configuration settings for the specified topic.

GET

:8090/kafka/v3/clusters/7cteo6omRwKaUFXj3BHxdg/topics/my-cool-topic/configs

Reassign topic partitions

Reassign the partitions of the specified topic.

POST

:8090/kafka/v3/clusters/7cteo6omRwKaUFXj3BHxdg/topics/my-cool-topic/partitions/-/reassignment

These API endpoints were generated using n8n

View workflow

Or explore 800+ other templates here

Set user profile data

Sets the profile data for a user in Slack.

POST

/api/users.profile.set

Get user profile

Retrieves the profile data for a user in Slack.

GET

/api/users.profile.get

Delete user photo

Deletes the photo of a user in Slack.

POST

/api/users.deletePhoto

Set user photo

Sets the photo of a user in Slack.

POST

/api/users.setPhoto

Set user active status

Sets the active status of a user in Slack.

POST

/api/users.setActive

These API endpoints were generated using n8n

View workflow

Or explore 800+ other templates here

Supported API Endpoints for Databricks

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.

Clusters
Jobs
Files
Groups

List clusters

Retrieve a list of all the clusters in your Databricks workspace.

GET

/api/clusters/list

Create cluster

Creates a cluster with the specified Databricks Runtime version and cluster node type.

POST

/api/clusters/create

Delete cluster

Permanently deletes a cluster from your Databricks workspace.

DELETE

/api/clusters/delete

Delete cluster

Permanently deletes the cluster with the specified cluster ID from the workspace.

DELETE

/api/v1/clusters/permanent_delete

Create cluster

Creates a new cluster in the Databricks workspace.

POST

/api/v1/clusters/create

These 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!

View workflow

Or explore 800+ other templates here

Create job

Creates a Databricks job that runs the specified notebook on the specified cluster.

POST

/api/v1/jobs/create

These 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!

View workflow

Or explore 800+ other templates here

Create directory

Creates an empty folder in a volume.

POST

/api/v1/files/create_directory

Upload file

Uploads a file to a volume.

POST

/api/v1/files/upload

List directory contents

Lists the contents of a volume.

GET

/api/v1/files/list_directory_contents

Delete file

Deletes a file from a volume.

DELETE

/api/v1/files/delete

Delete directory

Deletes a folder from a volume.

DELETE

/api/v1/files/delete_directory

These 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!

View workflow

Or explore 800+ other templates here

List groups

Lists the display names for all of the available groups within the Databricks account.

GET

/api/v1/groups/list

These 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!

View workflow

Or explore 800+ other templates here

Confluent and Databricks integration details

Confluent is a cloud-native data-in-motion service developed by the original creators of Apache Kafka®.

Using generic authentication

See Confluent integrations

Related categories

Development

Databricks is a cloud-based platform that helps enterprises process and analyze large amounts of data in a collaborative and scalable environment. It provides tools and infrastructure for data engineering, data science, and machine learning, enabling faster insights and decision-making.

Using generic authentication

See Databricks integrations

Related categories

Analytics