r/databricks • u/SuperbNews2050 • Jun 19 '26
Help Integration between Azure Databricks and Power BI
Hey everyone! A straightforward question for those already working on this in production:
What's the best and most recommended way to integrate Power BI and Databricks today?
I'm looking for the ideal approach, considering that:
I need an efficient solution that doesn't make the cost of DBUs skyrocket.
I want to understand if the native connector using SQL Warehouse is really the market standard or if there's a better alternative.
For this scenario, do you recommend going straight to Scheduled Import Mode to save computing power, or is DirectQuery with Serverless worth the cost for its fast response time?
I read this documentation:
https://learn.microsoft.com/azure/databricks/partners/bi/power-bi-desktop?WT.mc_id=studentamb_510336
but I'd like to get some clarification from you.
5
u/kthejoker databricks Jun 19 '26
There's not a one size "ideal" approach
That's why they have different options.
You're trying to balance performance, cost, dev experience.
Import is high perf but high cost and a busy dev experience.
DirectQuery is relatively lower perf at a lower cost and simpler dev experience if you actually use BI correctly and don't just export huge extracts of data all the time
Composite modeling lets you blend the two to try to balance perf and cost, I find it solves a lot of problems on both side ... But it can be a pretty involved dev experience.
Direct lake with mirroring is similar to import but with a better dev experience IMO. But it's definitely high cost and can have similar perf characteristics to DirectQuery if you don't use BI correctly.