DAX (Data Analysis Expressions) vs MDX

Developers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports meets developers should learn mdx when building content-heavy applications that require rich, interactive elements, such as documentation sites, blogs with embedded demos, or educational platforms. Here's our take.

DAX (Data Analysis Expressions)

Nice Pick

Developers should learn DAX when working with Microsoft's business intelligence tools like Power BI or Analysis Services to build advanced data models and reports

Pros

• It is essential for creating calculated columns, measures, and tables that support dynamic analytics, such as year-over-year comparisons, running totals, and custom KPIs
• Related to: power-bi, excel-power-pivot

Cons

• Specific tradeoffs depend on your use case

MDX

Developers should learn MDX when building content-heavy applications that require rich, interactive elements, such as documentation sites, blogs with embedded demos, or educational platforms

Pros

• It is particularly useful in projects using static site generators like Next
• Related to: react, markdown

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. DAX (Data Analysis Expressions) is a language while MDX is a library. We picked DAX (Data Analysis Expressions) based on overall popularity, but your choice depends on what you're building.

The Bottom Line

DAX (Data Analysis Expressions) wins

Based on overall popularity. DAX (Data Analysis Expressions) is more widely used, but MDX excels in its own space.