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.

SQLFlow is a high-performance stream processing engine that allows users to build data pipelines using SQL, integrating with various input sources like Kafka and WebSockets, and outputting to systems such as PostgreSQL and cloud storage. It leverages DuckDB and Apache Arrow for efficient processing, offering features like data aggregation, enrichment, and support for various serialization formats. The article provides a quickstart guide, setup instructions, and performance benchmarks for SQLFlow.