There is an unacceptable decrease in performance observed within large Publications. With publications housing a large number of individual changes, the current system struggles to maintain acceptable performance levels, especially during conflict checking and publishing publications. These two phases leverage handwritten SQL queries to perform those tasks that allow Publications a shortcut through our persistence layer to maximize performance in small publications. In large publications though, further considerations must be taken to ensure consistent performance.

Since Publications provides a final end point for users to review changes, it would benefit content editors tremendously if they could also review their workflow changes.

The selection filters of the Data Set Manager has been revamped to allow chosing different type of sources. On top of the picklist, now the admin user may select an API Headless as filter values source, so the filter values might be populated with the values coming from the API response. This allow users to have a more automated process on the filter creation.