This article discusses the importance of using time series databases (TSDBs) to efficiently store and query large amounts of time-stamped data. It explains how traditional relational database management systems (RDBMS) can become inefficient when dealing with high volumes of data, particularly in scenarios where data is constantly being added or updated over a long period. In contrast, TSDBs are specifically designed to handle this type of data and provide fast write and query performance, making them ideal for applications that require real-time monitoring and analysis of time-stamped data. The article highlights the benefits of using InfluxDB, an open-source TSDB, which provides features such as high-performance writes, efficient querying, and advanced analytics capabilities. It also demonstrates how to set up and use InfluxDB with a C++ client library, including examples of writing data to the database, querying data, and visualizing results in a graph. The article concludes by emphasizing the importance of choosing the right database solution for specific use cases and highlighting InfluxDB as a suitable option for applications that require efficient time-stamped data storage and analysis.