How to stream Postgres to Kafka

This guide shows you how to set up Postgres change data capture (CDC) and stream changes to Kafka using Sequin.

With Postgres data streaming to Kafka, you can trigger workflows, keep services in sync, build audit logs, maintain caches, and more.

By the end of this how-to, you’ll have database changes flowing to a Kafka topic.

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Prerequisites

If you’re self-hosting Sequin, you’ll need:

1. Sequin installed
2. A database connected
3. A Kafka cluster ready to go

If you’re using Sequin Cloud, you’ll need:

1. A Sequin Cloud account
2. A database connected
3. A Kafka cluster ready to go

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Basic setup

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Prepare your Kafka cluster

You’ll need a Kafka cluster and topic ready for Sequin to stream changes to. You can use either a local cluster for development or a cloud-hosted Kafka service in production.

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Local development with Docker

For local development with Sequin, you can quickly spin up a Kafka cluster using Docker Compose:

version: '3'
services:
  zookeeper:
    image: bitnami/zookeeper:latest
    ports:
      - "2181:2181"
    environment:
      - ALLOW_ANONYMOUS_LOGIN=yes
    networks:
      - kafka-net

  kafka:
    image: bitnami/kafka:latest
    ports:
      - "9092:9092"
      - "9093:9093"
    environment:
      - KAFKA_BROKER_ID=1
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
      - KAFKA_CFG_LISTENERS=INTERNAL://:9093,EXTERNAL://:9092
      - KAFKA_CFG_ADVERTISED_LISTENERS=INTERNAL://kafka:9093,EXTERNAL://localhost:9092
      - KAFKA_CFG_INTER_BROKER_LISTENER_NAME=INTERNAL
      - ALLOW_PLAINTEXT_LISTENER=yes
    depends_on:
      - zookeeper
    networks:
      - kafka-net

networks:
  kafka-net:
    driver: bridge

Start the cluster:

docker-compose up -d

Create a topic for Sequin to publish to:

docker exec -it <kafka-container-id> kafka-topics.sh \
  --create \
  --topic my-topic \
  --bootstrap-server kafka:9093 \
  --partitions 1 \
  --replication-factor 1

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Production Kafka

For production environments, Sequin works with major managed Kafka providers as well as self-hosted Kafka clusters. To prepare your Kafka cluster for Sequin, you’ll need to:

1. Create a dedicated topic for Sequin to publish to
2. Create credentials (username/password) for Sequin to use
3. Configure appropriate ACLs to allow Sequin to publish to your topic

Once your cluster is ready, make note of:

• Bootstrap server addresses
• Topic name
• Authentication credentials
• Whether TLS is required

You’ll need these details when configuring your Kafka sink in the next section.

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Create Kafka sink

Navigate to the “Sinks” tab, click “Create Sink”, and select “Kafka Sink”.

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Configure the source

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Configure Kafka

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Verify & debug

To verify that your Kafka sink is working:

1. Make some changes in your source table
2. Verify that the count of messages for your sink increases in the Sequin web console
3. Using your Kafka consumer tools, check your topic:

   kafka-console-consumer --bootstrap-server localhost:9092 --topic your-topic --from-beginning
   

   You should see the messages from Sequin appear in the topic.

If messages don’t seem to be flowing:

1. Click the “Messages” tab to view the state of messages for your sink
2. Click any failed message
3. Check the delivery logs for error details, including any Kafka connection errors

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Next steps

• Setup a processor

  Now that your Postgres data is flowing into Kafka, you can setup a consumer group to read from the topic and process the data.

  Refer to the Kafka sink reference for the shape of messages that Sequin will publish to Kafka.

• Deploy your implementation

  When you’re ready to deploy your implementation, see “How to deploy to production”.

• Advanced configuration

  For more about how Kafka sinks work, see the Kafka sink reference.