Metrics and events are two types of time series data that differ in their distribution across time. Metrics are evenly distributed and can be used for processes like forecasting, while events are unpredictable and occur at irregular intervals. The difference between metrics and events affects how the database stores and compresses the data being ingested, as well as how we interact with it. Understanding the differences between metrics and events is crucial for effective monitoring and analysis of time series data, and InfluxDB emphasizes the ability to track both types of data. By recognizing the unique characteristics of each, developers can make informed decisions about how to collect, store, and analyze their data.