Abstract
This work provides a comprehensive overview of the capabilities of time series databases, with a special emphasis on InfluxDB –a leading time series database known for its efficiency and support for complex analyses through the Flux query language, including data aggregation, filtering, trend detection, and forecasting. The practical application of InfluxDB is demonstrated through various examples, showcasing its versatility in performing complex data operations, such as data filtering, identifying significant changes in data, and conducting stochastic analysis. These functionalities highlight the potential of InfluxDB across a broad range of applications, from IoT telemetry to financial analysis, underscoring the critical role of time series databases in modern data management and analysis strategies.
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