Kafka and S3 integration

Save yourself the work of writing custom integrations for Kafka and S3 and use n8n instead. Build adaptable and scalable Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

Get started

See n8n in action

How to connect Kafka and S3

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.

Kafka and S3 integration: Create a new workflow and add the first step

Step 2: Add and configure Kafka and S3 nodes

You can find Kafka and S3 in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Kafka and S3 nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Kafka and S3 integration: Add and configure Kafka and S3 nodes

Step 3: Connect Kafka and S3

A connection establishes a link between Kafka and S3 (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.

Kafka and S3 integration: Connect Kafka and S3

Step 4: Customize and extend your Kafka and S3 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 Kafka and S3 with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Kafka and S3 integration: Customize and extend your Kafka and S3 integration

Step 5: Test and activate your Kafka and S3 workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Kafka to S3 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.

Kafka and S3 integration: Test and activate your Kafka and S3 workflow

Build your own Kafka and S3 integration

Create custom Kafka and S3 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.

S3 supported actions

Bucket
File
Folder

Create

Create a bucket

Delete

Delete a bucket

Get Many

Get many buckets

Search within a bucket

Copy

Copy a file

Delete

Delete a file

Download

Download a file

Get Many

Get many files

Upload

Upload a file

Create

Create a folder

Delete

Delete a folder

Get Many

Get many folders

Kafka and S3 integration details

Kafka is an open-source platform for distributed event streaming that may be used for mission-critical applications, high-performance data pipelines, streaming analytics, and data integration. The largest companies in the world, in different sectors, are using Kafka.

Kafka node docs + examples

Kafka credential docs

See Kafka integrations

Related categories

Development

S3 is an object storage service that allows you to block public access to all of your objects at the bucket or the account level with S3 Block Public Access.

S3 node docs + examples

S3 credential docs

See S3 integrations

Related categories

Development

Data & Storage

Other integrations with Kafka