Weather data visualization and forecasting with QuestDB, Kafka and Grafana

QuestDB is an open-source time-series database designed for high-performance workloads, offering ultra-low latency and high ingestion throughput. It supports Parquet and SQL, ensuring data portability and AI readiness without vendor lock-in. The tutorial demonstrates how to stream and visualize large volumes of weather data using QuestDB, Kafka, and Grafana. By setting up a Docker environment, the guide walks through creating microservices for streaming weather data from the OpenWeatherMap API to Kafka, processing it, and storing it in QuestDB. This data is then visualized using Grafana, allowing for dynamic interaction with the data. The tutorial provides a proof of concept for integrating QuestDB with Kafka and Grafana, showcasing its capability to handle real-time data processing and visualization efficiently. It emphasizes that while the setup is not production-ready, it effectively demonstrates the potential for storing and visualizing diverse time-series data types.