DAX → MDX Converter for OLAP and SSAS

Convert basic DAX expression patterns into MDX drafts for OLAP cubes and Analysis Services. This is a rule-based helper, not a complete semantic translator.

Use cases

Use it as a starting point when moving calculations between tabular and multidimensional models. Validate the result against the target cube.

Supported transformations

SUM() → SUM()
AVERAGE() → AVG()
DIVIDE(x,y) → IIF(y = 0, NULL, x / y)
IF() → IIF()
'Table'[Column] → [Table].[Column]
BLANK() → NULL

Require manual review

CALCULATE() — context functions
ALLEXCEPT() — context modifiers
KEEPFILTERS() — filtering
TREATAS() — table relationships
USERELATIONSHIP() — relationship activation

DAX expression: Enter a DAX expression to convert to MDX

DAX → MDX conversion reference

DAX vs MDX: key differences

Data model: DAX uses tabular models; MDX uses multidimensional models
Reference syntax: DAX uses 'Table'[Column], MDX - [Dimension].[Hierarchy]
Context: MDX uses sets, tuples and cube context
Functions: Some functions have counterparts with different syntax and semantics

Conversion examples

DAX	MDX
`SUM('Sales'[Amount])`	`SUM([Sales].[Amount])`
`AVERAGEX(Table, Expression)`	`AVG([Table], [Expression])`
`IF(Condition, True, False)`	`IIF(Condition, True, False)`
`BLANK()`	`NULL`

Converter limitations

Automatic conversion covers basic patterns
Complex DAX context functions require manual rewriting
Relationships are represented differently in MDX
Some DAX functions have no direct MDX equivalent
Review and test the result before use

DAX → MDX Converter