Kafka and RabbitMQ integration

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

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How to connect Kafka and RabbitMQ

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 RabbitMQ integration: Create a new workflow and add the first step

Step 2: Add and configure Kafka and RabbitMQ nodes

You can find Kafka and RabbitMQ 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 RabbitMQ nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Kafka and RabbitMQ integration: Add and configure Kafka and RabbitMQ nodes

Step 3: Connect Kafka and RabbitMQ

A connection establishes a link between Kafka and RabbitMQ (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 RabbitMQ integration: Connect Kafka and RabbitMQ

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

Kafka and RabbitMQ integration: Customize and extend your Kafka and RabbitMQ integration

Step 5: Test and activate your Kafka and RabbitMQ workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Kafka to RabbitMQ 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 RabbitMQ integration: Test and activate your Kafka and RabbitMQ workflow

Build your own Kafka and RabbitMQ integration

Create custom Kafka and RabbitMQ 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.

RabbitMQ supported modes

Queue

Publish data to queue

Exchange

Publish data to exchange

RabbitMQ supported actions

Send a Message to RabbitMQ

Delete From Queue

Send a Message to RabbitMQ

Delete From Queue

Kafka and RabbitMQ 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

RabbitMQ is an open-source message broker software that implements the Advanced Message Queuing Protocol. It is generally used to handle background and cron jobs or as a message broker between micro services.

RabbitMQ node docs + examples

RabbitMQ credential docs

See RabbitMQ integrations

Related categories

Development

Other integrations with Kafka