Kafka and Postgres integration

Save yourself the work of writing custom integrations for Kafka and Postgres 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.

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How to connect Kafka and Postgres

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

Step 2: Add and configure Kafka and Postgres nodes

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

Kafka and Postgres integration: Add and configure Kafka and Postgres nodes

Step 3: Connect Kafka and Postgres

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

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

Kafka and Postgres integration: Customize and extend your Kafka and Postgres integration

Step 5: Test and activate your Kafka and Postgres workflow

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

Build your own Kafka and Postgres integration

Create custom Kafka and Postgres 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.

Postgres supported actions

Database

Delete

Delete an entire table or rows in a table

Execute Query

Execute an SQL query

Insert

Insert rows in a table

Insert or Update

Insert or update rows in a table

Select

Select rows from a table

Update

Update rows in a table

Kafka and Postgres 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

Postgres, or PostgresSQL, is a free, open-source tool that helps you emphasize extensibility and SQL compliance. It is an advanced object-relational database that provides high performance, reliability and feature robustness.

Postgres node docs + examples

Postgres credential docs

See Postgres integrations

Related categories

Development

Data & Storage

Other integrations with Kafka

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