Mirror of <https://developer.salesforce.com/docs/data/data-cloud-query-guide/references/dc-sql-reference/hamming-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.

HAMMING_SIMILARITY

Applies to: ✅ Data 360 SQL ✅ Tableau Hyper API

Calculates the similarity between two quantized (binary) embeddings using the normalized Hamming distance.

• <bytea1>: The first binary-quantized vector.
• <bytea2>: The second binary-quantized vector.

Returns a double-precision value between 0 and 1, where 1 indicates identical binary vectors.

• Both inputs must be bytea values of the same length.
• This function provides fast, approximate similarity. Use exact methods when precision is critical.

Compare two binary-quantized vectors.

Returns 0.75, indicating 3 out of 4 bits match between the two vectors.

• Array Data Type

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