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Category - Time Series Database
Time-series databases specialize in storing and analyzing time-stamped data, such as sensor readings, financial data or log data. They provide optimized querying and analysis capabilities for time-series data. Examples include InfluxDB and Prometheus.
To optimize performance in time-series databases, techniques such as data partitioning, retention policies, and downsampling can be utilized.