Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
Hello, I want to compare the performance (loading time, memory, CPU cores etc.) between Power Query M vs. DAX calculated column. Is there an easy way to see the performance of running one or the other? Maybe an add-in or something I can use to compare the two? If not, any thoughts on general best practices would be greatly appreciated!!!
Thanks!
Please see this article.
Comparing DAX calculated columns with Power Query computed columns - SQLBI
Pat
My understanding is limited, but I believe Dax calculated columns are preferable to Power Query M merge statements, but otherwise, Power Query M is preferable to Dax.
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 4 | |
| 4 | |
| 2 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 11 | |
| 11 | |
| 5 | |
| 4 | |
| 4 |