Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength of stream processing is that it can provide insights faster, often within milliseconds to seconds.
With that being said, stream processing naturally fits with time series data, as most continuous data series are time series data. And time series data needs a purpose-built database to ingest, store and process it. This is exactly what InfluxDB is. And this is why, given its high-write throughput and the scalability it allows, InfluxDB suits stream processing.