Flux, the new query language and engine for InfluxData's time series database, has been compared to Pandas Joins by Anais Dotis-Georgiou. The comparison highlights the benefits of Flux Joins over Pandas Joins, particularly when it comes to readability, flexibility, and efficiency in handling time series data. With Flux, joins can be performed with a more intuitive syntax, eliminating the need for resetting indices or specifying left and right suffixes. Additionally, Flux allows for joining on multiple columns, which is useful for eliminating duplicated or verbose columns in time series data. The author's experience has changed their perception of Pandas Joins, recognizing that they are not optimized for time series data like Flux is.