Time-series Databases

Time-series databases are specialized storage systems designed to efficiently handle data that is recorded over time, such as sensor readings, stock prices, or server metrics. They organize data points with timestamps, enabling rapid querying and analysis of how values change over periods. Unlike traditional databases, which focus on structured records, time-series databases are optimized for high-speed ingestion, storage, and retrieval of chronological data, making them ideal for monitoring, forecasting, and trend analysis across various industries.