TimeSeriesDatabases
Time series databases (TSDBs) are databases optimized for storing and querying time-stamped data. They are designed to ingest large volumes of measurements quickly, store data efficiently, and answer queries over time ranges with minimal latency.
The data model typically centers on a time series identified by a measurement name, a set of
Typical capabilities include time-bounded aggregations (min, max, avg, sum), downsampling and rollups, handling of irregular sampling,
Use cases span infrastructure and application monitoring, IoT telemetry, financial tick data, and scientific sensor networks.
Common examples of TSDBs include InfluxDB, TimescaleDB, OpenTSDB, KairosDB, and Prometheus, each with trade-offs in schema