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.

This guide demonstrates how to process ADS-B aviation data using Apache Flink and Kafka to identify missed landing approaches and runway landings. It provides steps to set up a Docker environment, collect real-time flight data, and execute SQL queries to analyze aircraft movements and relationships using user-defined functions and reference data.