A Time Series Database is a specialized type of database designed to handle time-stamped data efficiently. This data often comes from sources like sensors, financial markets, or web applications, where each entry is associated with a specific time. Time series databases are optimized for storing, retrieving, and analyzing large volumes of time-related data, making them ideal for monitoring trends and patterns over time. These databases support various operations, such as aggregating data over time intervals, querying specific time ranges, and visualizing changes. Popular examples of time series databases include InfluxDB, Prometheus, and TimescaleDB, each offering unique features tailored for time-based data analysis.