This article argues against the notion that Postgres can replace Kafka, highlighting their distinct purposes. It explains how using Postgres for event streaming can lead to challenges and inefficiencies, particularly for use cases Kafka is designed to handle.

The article delves into the working mechanism of Apache Kafka, a distributed event streaming platform. It explains the architecture, components, and key features that enable Kafka to handle real-time data feeds efficiently. Understanding Kafka's capabilities can help developers and organizations optimize their data processing strategies.