Azure Databricks power bi connect disadvantages (in the context of Azure Lane). Hope fabric can solve these problems.



  • Databricks is awesome for dealing huge datasets, but Power BI? Not so much. Its in-memory processing kills on huge volume data, and transferring that data takes forever, mostly because of the V-Net gateway.
  • The V-Net gateway is a bottleneck. It kills data transmission and limits you to 30 queries at once. 31st query will be in a queue. If too many queries hit at the same time, you’re stuck with locking issues or mashup errors.
  • Data throughput is another pain point via Vnet gateway. Microsoft’s is working on fixing the Samba JDBC driver at the V-Net gateway, (it’s a dream Microsoft will never fix until all projects moved to Fabric and kick out databricks)
  • Databricks uses a Partner Connect driver for Power BI, using on a Microsoft SPN account. Problem is, anyone without Databricks access can create the reports and see the data—no real user-level security. There’s a big gap in setting up proper governance for this integration.
  • Starting up a SQL warehouse in Databricks is a slow—takes like 5-7 minutes to start the cluster. (Serverless endpoint still too risky for production because of security concerns, so it’s a no-go.)
  • ·        Databricks provides a Power BI connector, it may not support all advanced features (e.g., incremental data refresh, complex transformations) natively, requiring workarounds or custom solutions.
  • Developers need to pre-process or aggregate data in Databricks, before feeding it to Power BI, adding an extra layer of complexity.
  • Oh, and here’s a partial problem: if you pick certain attribute and try to drag on report, attribute selection in the backend, it triggers these massive “select with group by” queries in the SQL warehouse. With huge fact tables, those queries can grind Power BI reports to a halt, and you’re left having to manually kill the report page.

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