Time Series Database
A time series database (TSDB) is a specialized database system optimized for storing and querying time-stamped data points, such as metrics, events, or sensor readings, in chronological order. It efficiently handles high-volume, time-ordered data streams with features like data compression, retention policies, and time-based queries. TSDBs are designed for scalability and performance in applications where data is continuously generated over time.
Developers should learn and use time series databases when building systems that involve monitoring, IoT, financial analytics, or real-time analytics, as they provide fast ingestion and querying of time-stamped data. They are essential for use cases like tracking server metrics, analyzing stock prices, or managing sensor data from devices, where traditional relational databases may struggle with performance and storage efficiency.