Tablizer

Convert SQL to DAX Online

Paste a SQL table below, edit it if you need to, and get DAX back. The conversion runs in your browser, so nothing is uploaded, there is no size limit and there is no signup.

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The output will appear here once there is a table to convert.

What SQL is

SQL here means the statements that move a table into a database: INSERT INTO with a VALUES list, and optionally the CREATE TABLE that defines the columns.

Anyone seeding a database, moving a spreadsheet into an application, or writing a migration.

What DAX is

A DAX DATATABLE expression that defines a table inline in a Power BI model.

Power BI report authors.

What changes when you convert SQL to DAX

Column names come from the INSERT column list, or from a CREATE TABLE if one is present. Quoted strings are unquoted, doubled quotes are collapsed, and NULL becomes an empty cell.

All columns are declared as STRING. Change the type declarations by hand if you need numeric columns.

What carries over from SQL to DAX

SQL records 3 things about a table that DAX has no way to hold.

An empty cell and a missing one are the same thing in DAX, so a null and an empty string in the SQL both come out blank and can no longer be told apart.

A line break inside a cell ends the row in DAX, so line breaks are replaced rather than carried through.

SQL can be read one record at a time. DAX has to be complete before it means anything, so the whole table is held in memory while it is written and a file that gets cut off part way through is not partly usable - it is unusable.

Both formats record types, so numbers, booleans and nulls survive as themselves rather than as text.

The identifier 007 comes out of the DAX as 007. Reading it as a number would have made it 7, and an id that changes value is worse than one that stays text.

The role "Analyst, data" survives with its comma, in one cell rather than split across two. That is the first thing to check in any converted table, and the usual place a DAX file goes wrong.

The quotes around Jonah "Jo" Pryce are escaped with a backslash in the DAX.

A worked example

Three rows of staff data, with an identifier that has a leading zero, a value containing a comma, a value containing quotes and one blank cell. Those are the four places formats disagree, so they are the four places to look.

SQL in
INSERT INTO `staff` (`id`, `name`, `role`, `started`, `hours`) VALUES
  ('007', 'Halima Yusuf', 'Analyst, data', '2024-03-15', '38.5'),
  ('012', 'Jonah "Jo" Pryce', 'Engineer', '2025-11-02', NULL),
  ('104', 'Wei Chen', 'Manager', '2023-06-30', '40');
DAX out
staff =
DATATABLE(
    "id", STRING,
    "name", STRING,
    "role", STRING,
    "started", STRING,
    "hours", STRING
    {
    {"007", "Halima Yusuf", "Analyst, data", "2024-03-15", "38.5"},
    {"012", "Jonah \"Jo\" Pryce", "Engineer", "2025-11-02", ""},
    {"104", "Wei Chen", "Manager", "2023-06-30", "40"}
    }
)

Questions

How do I convert SQL to DAX?

Paste your SQL into the box above or drop the file onto it. Check the table in the grid, then copy or download the DAX from the output panel. It takes one step and the data never leaves your browser.

Are the generated INSERT statements safe to run?

Quotes in your data are escaped, so the statements are syntactically correct. They are not parameterised, which is fine for a one-off import you are running yourself and not fine as a pattern for application code that takes user input.

One of my cells has a line break in it - what happens?

A line break would end the row in DAX, so it is replaced instead of carried through. The rest of the cell stays where it belongs.

Is there a limit on file size?

No. The work happens on your own machine, so the limit is your machine's memory rather than an upload cap. A file with tens of thousands of rows converts in a second or two.

Is my data uploaded anywhere?

No. The parsing and generating are done by JavaScript running on this page. You can watch the network tab while you convert and see that nothing is sent.

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