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> Mirror of <https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/cosine-similarity.html> (Salesforce, Data 360 Query Guide), read 2026-10-23. Salesforce's own page is the authority; this copy exists because that site refuses non-browser readers.

## `COSINE_SIMILARITY`

**Applies to:** ✅ Data 360 SQL ✅ Tableau Hyper API

Computes the cosine similarity between two vectors, measuring directional alignment.

*   `<array1>`: The first vector (`array(real)` or `array(double-precision)`).
*   `<array2>`: The second vector (`array(real)` or `array(double-precision)`).

Returns a double-precision value between -1 and 1, where 1 indicates identical direction, 0 indicates orthogonal, and -1 indicates opposite direction.

*   Both input arrays must be of the same element type and length.
*   If any element is NULL, the result is NULL.
*   Zero vectors cause division by zero.
*   For optimal performance, use array definitions with non-nullable elements.

Compute the cosine similarity between two vectors.

Returns approximately `-0.42857`, indicating the vectors are somewhat opposed in direction.

*   [Array Data Type](https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/array.html)


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