Which statement is true regarding query performance?

The statement that a complex query language facilitates analysis but may hinder user adoption is true because it highlights a critical trade-off in query systems. A rich and complex query language typically allows users to express more intricate analyses and retrieve more nuanced insights from their data. This flexibility can empower users to perform detailed investigations and uncover deeper patterns or correlations that may not be visible through simplified queries.

However, the downside of a complex query language is that it can intimidate new users or those who may not have the technical skills required to construct sophisticated queries. If users struggle to understand or effectively utilize the query language, it can lead to lower engagement and adoption rates, which defeats the purpose of having powerful analytical tools in the first place. Therefore, the balance between complexity and usability is crucial in ensuring that a variety of users can effectively leverage the system to derive value from their data.

The other options do not accurately convey the relationship between query performance and usability in this context. Parsing at query time may slow down performance, while asserting that all log queries must be simple oversimplifies the capabilities that can be achieved through more complex queries encountered in real-world data analysis. Additionally, stating that parsing at the time of ingestion has no performance impact contradicts the common understanding of how data