Over the past two decades, the aerospace industry has seen a substantial increase in the use of time series data due to the proliferation of sensors across various applications, from manufacturing to satellite operations. The commercial space sector's growth has prompted a shift from traditional data solutions to more advanced databases like InfluxDB, which offers real-time monitoring, anomaly detection, and the ability to handle vast amounts of data efficiently. Aerospace companies such as Thales Space and Eutelsat have successfully leveraged InfluxDB for tasks like telemetry data management, root-cause analysis, and machine learning model improvements. Similarly, major aircraft manufacturers and satellite communications providers have adopted InfluxDB to enhance data processing, ensure regulatory compliance, and improve predictive analytics. This transition reflects the industry's need for scalable, high-performance databases that can handle the increasing complexity and data demands of modern aerospace operations.