Direct Query Limitations Power BI

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Power BI: Direct Query  



DirectQuery in Power BI helps us build different visualizations over small, large, and very large datasets. When working with large datasets, it is very unfeasible to use Import Mode, In this case, DirectQuery comes into the picture. As

  • While using Direct Query no data will be copied or imported into power BI.
  • In the case of relational sources only selected columns to tables come in the Field List.
  • Apart from having several benefits, DirectQuery has some limitations, which we have discussed below paragraphs.


Direct Query Limitations in  Power BI

Direct Query has a number of advantages but few limitations which are:

  • In the case of multi-dimensional resources like SAP warehouses, there is no option for Power Query Editor.
  • When the power query is too complex then an error might occur to resolve it import mode must be used.
  • Calculated Columns & Tables with reference to direct query tables from any data source having SSO (Single Sign-On ) Authentication are not supported in Power BI pro/Service.
  • In DirectQuery Auto time/date is not available. Example requirement of date columns (drill down with day, month, year) isn't supported.
  • Direct Query does not support changing data type, transpose, and conditional columns.
  • In the case of DirectQuery, Gateway must be constantly running.
  • Not support the option to consume data from multiple sources at a time.
  • When using Direct Query there is no option for Data Modeling or Data Formatting.
  • In Direct Query we cannot write DAX formulas. But Measures can be created.



For More details on Direct Query or Import Mode refer to:















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