Apache Kafka is used with Postgres to create real-time materialized views that update based on database changes. This approach enables scalable and flexible architectures for change data capture and streaming database events. The guide assumes the use of Confluent Cloud to host Apache Kafka, Kafka Connect, and ksqlDB components. It covers creating a Debezium connector to stream Postgres database changes to an Apache Kafka cluster, processing those changes using ksqlDB to create materialized views that update in response to database changes, and consuming these updates from the materialized view. The approach avoids the dual-write problem when integrating with message brokers like Apache Kafka.