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Time Series Database

A time series database (TSDB) is a specialized database system optimized for storing, querying, and analyzing time-stamped data points, known as time series data. It efficiently handles high-volume, sequential data streams from sources like IoT sensors, financial markets, or application monitoring, using compression and indexing techniques tailored for temporal queries. TSDBs support operations like aggregation, downsampling, and anomaly detection over time intervals.

Also known as: TSDB, Time-Series DB, Time Series DBMS, Temporal Database, Time-Series Data Store
🧊Why learn Time Series Database?

Developers should use time series databases when building applications that involve continuous data streams with timestamps, such as real-time monitoring, financial analytics, or IoT platforms, where performance for time-based queries is critical. They are essential for scenarios requiring efficient storage and retrieval of large-scale time-series data, enabling fast analysis and visualization without overloading traditional relational databases.

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