Why do the exported data sometimes appear different depending on its destination?

The data delivery performed by Data Streaming can vary depending on the format and destination you use. This happens because each type of data follows its own pipeline, designed for distinct purposes, which can be:

Observability: tracks systems in real time to quickly identify failures and anomalies. To optimize for speed and efficiency, it uses techniques that can influence the volume of processed data. In this context, occasional gaps in the exported data can be expected and don’t compromise the main goal of monitoring.
Analytics: works with historical and detailed data to support reports and strategic decisions. Since the priority is to ensure comprehensiveness and consistency, the quantity and level of detail of the information can be greater.