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![]() They have been optimized to consolidate multiple operations within a standard DAX query into fewer operations for a corresponding SuperDAX query, which in turn results in fewer storage engine queries, which in turn results in noticeably improved query performance. For example, the vast majority of Power BI visuals take advantage of SuperDAX. Like SuperDAX against tabular, SuperDAXMD against multidimensional aims to reduce the chattiness between DAX clients and Analysis Services. SuperDAXMD is the codename to bring these enhancements to the multidimensional area SQL Server Analysis Services 2016 and the latest versions of Power BI. SuperDAX was the original codename for DAX query optimizations introduced with Power BI and SQL Server Analysis Services 2016 for tabular models. When Power BI detected that it connected to a multidimensional model it fell back to less performant standard DAX functions and query patterns. However, prior to SQL Server 2019 CU 5, Power BI users would notice a significant performance difference when querying multidimensional models in comparison to tabular models because SuperDAX enhancements were not available in multidimensional mode. Existing interactive reports in the Power BI Service can benefit without any additional steps, as Power BI generates the optimized SuperDAX queries automatically.Īnalysis Services supports both Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) across all server modes so that MDX clients, such as Excel, and DAX clients, such as Power BI Desktop, can seamlessly connect to any type of data model. ![]() You can unlock these performance gains right now by upgrading your on-prem Analysis Services servers to CU5 or higher and downloading the latest version of Power BI Desktop. This is especially important for Power BI users because interactive Power BI reports submit DAX queries to multidimensional models. Starting with SQL Server 2019 Cumulative Update (CU) 5, DAX-based clients can use SuperDAX functions and query patterns against multidimensional models to boost performance.
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