InfluxDB is a time series database that handles large volumes of data in near real-time, with an immutable nature that requires careful deletion and editing to maintain accuracy. Time series data updates continuously due to the constant movement of time, making it essential to consider precision levels and intervals for calculations like averages. Downsampling data can be intentional to preserve valuable information but risks losing context if not handled properly; InfluxDB supports downsampling with multiple backup copies and nanosecond precision to maintain context. Additionally, InfluxDB allows joining non-time series data with time series data to produce deeper insights.