The DATEDIFF function in Snowflake is a powerful tool for calculating time differences between two dates or timestamps, making it easy to analyze time-based patterns in data. It can be used to identify churn risk, optimize customer support operations, measure marketing channel effectiveness, and analyze subscription performance. The function takes three arguments: the unit of measurement (such as DAY, MONTH, YEAR, HOUR), the start date or timestamp, and the end date or timestamp. When using DATEDIFF, it's essential to handle NULL values carefully, be mindful of time zones, choose the right date part, and remember that the function is inclusive. Snowflake offers several functions for working with dates and times, including DATEADD, TIMEDIFF, and DATE_TRUNC, each serving specific use cases. By understanding how to effectively utilize DATEDIFF in Snowflake, users can gain valuable insights into their data and make informed decisions.