This is a companion discussion topic for the original entry at How we reduced a 6-hour runtime in Alteryx to 9 minutes in dbt | dbt Developer Blog
I only read the first part of this post and noticed that the Alteryx workflow is not using in-database processing , whereby the query is submitted and performed in-database . As such the comparison highlighted of hours down to minutes is not realistic as Alteryx would use these push down optimisations and hence perform the query in minutes not hours.
I’d recommend you take the time to read the material below to fully understand Alteryx’s capabilities , before making these types of comparisons
Alteryx allows several additional benefits , optimised in-database queries can be performed in snowflake as well as many other databases visually without code ,or with code if you insist.
The business user can understand the workflow as it’s visual and not a heap of code , with Alteryx you don’t need an army of sql developers. Last but not least the result of an in-database process can be streamed automatically to an analytical process without the need of an intermediary table . Thereby reducing the overall process considerably , more cost effectively and more securely.