Accelerate the Value of Data

Comparison Operators

You can use multiple operators for comparison during the matching process.

A match rule contains various key elements and the primary element, usually positioned in a JSON after the comparator and match token classes, is the rule’s comparison formula. Depending on the rule type you choose (automatic, suspect, <custom>, or relevance_based), it will be a boolean or arithmetic expression that defines how two match candidates should be compared for similarity. The rule will use Comparison Operators and Helper Operators (Equals, In, And, Or, and Null Values) as the key components of the expression.

A rule must have one or more Comparison Operators. There are five to choose from - Exact, ExactOrNull, ExactOrAllNull, notExactSame, and Fuzzy. Details of each are below.

Exact

The Exact operator indicates that you wish the comparison for this attribute to be considered true if the values tested are exactly the same.

ExactOrNull

The comparison on the attribute is considered true if:
  • Both attributes have values AND pass the test for exact OR
  • One attribute has a value while the other does not OR
  • Both attributes have no values

ExactOrAllNull

The comparison on the attribute is considered true if
  • Both entities have values AND pass the test for exact OR
  • Both entities have no values

notExactSame

Used only within a negative rule, returns true if the two values are NOT the same. For more details, see topic Negative Rule.

Fuzzy

The Fuzzy operator indicates that you wish the comparison for the attribute to be considered true if any values being tested are similar, but not necessarily identical.