Create an ADS-B flight radar with QuestDB and a Raspberry Pi

QuestDB is an open-source time-series database designed for high-performance workloads, offering features like ultra-low latency, high ingestion throughput, and support for Parquet and SQL, ensuring data portability and AI readiness without vendor lock-in. The blog demonstrates how QuestDB can be used with a Raspberry Pi to track airplanes by utilizing the Automatic Dependent Surveillance Broadcast (ADS-B) system, similar to services like FlightRadar24 and FlightAware. By setting up a lightweight QuestDB server on a Raspberry Pi with additional sensor hardware, users can capture flight data, which is then decoded using dump1090 and stored in QuestDB for analysis. The tutorial explains the installation of necessary software and hardware components, such as ADS-B SDR dongles and antennas, and illustrates how to visualize flight data using Grafana to create a real-time radar server. The blog highlights the benefits of using QuestDB for IoT projects, emphasizing its ability to handle large volumes of time-series data efficiently and its utility for both hobbyists and professional applications in sectors like aviation, space exploration, and more.