A Time Series Database (TSDB) is a specialized database designed to handle time-stamped data efficiently. This type of database is optimized for storing and querying data points that are collected over time, such as sensor readings, stock prices, or website traffic. TSDBs are particularly useful for applications that require real-time analytics and monitoring. These databases often support high write and query loads, making them ideal for scenarios where data is continuously generated. Common features include data compression, downsampling, and the ability to handle large volumes of time-series data. Popular examples of TSDBs include InfluxDB, Prometheus, and TimescaleDB.