This talk argues that the future of data query/analytic languages will be all about embedding the language into the native programming language of the developer. As an example of this style, the Gremlin graph traversal language is presented. Gremlin can be represented in any programming language that supports function composition and function nesting. The language representation is then compiled to Gremlin bytecode to ultimately be executed by the/a Gremlin graph traversal machine. This enables both the Gremlin language and machine to be agnostic to the execution language.