One of the latest addition to DAX has been the ability to apply an external filter context to SUMMARIZECOLUMNS, which makes this function a perfect replacement for SUMMARIZE in DAX. In The Definitive Guide to DAX I introduced such a function, but at the time of writing it was used only by Power BI and it wasn’t possible to include it in a measure, because of the limitation that now has been removed. Using SUMMARIZECOLUMNS you can write:

SUMMARIZECOLUMNS (
    'Date'[Calendar Year], 
    'Product'[Color], 
    "Sales Amount", SUMX ( Sales, Sales[Quantity] * Sales[Unit Price] )
)

instead of:

SUMMARIZE (
    Sales,
    'Date'[Calendar Year], 
    'Product'[Color], 
    "Sales Amount", SUMX ( Sales, Sales[Quantity] * Sales[Unit Price] )
)

A more complete description of this new function is available in the Introducing SUMMARIZECOLUMNS article I wrote on SQLBI.

SUMMARIZECOLUMNS

Create a summary table for the requested totals over set of groups.

SUMMARIZECOLUMNS ( [<GroupBy_ColumnName> [, [<FilterTable>] [, [<Name>] [, [<Expression>] [, <GroupBy_ColumnName> [, [<FilterTable>] [, [<Name>] [, [<Expression>] [, … ] ] ] ] ] ] ] ] ] )

SUMMARIZE

Creates a summary of the input table grouped by the specified columns.

SUMMARIZE ( <Table> [, <GroupBy_ColumnName> [, [<Name>] [, [<Expression>] [, <GroupBy_ColumnName> [, [<Name>] [, [<Expression>] [, … ] ] ] ] ] ] ] )

SUMX

Returns the sum of an expression evaluated for each row in a table.

SUMX ( <Table>, <Expression> )