While Ethan Bolker's answer is correct of course, there are contexts in which it is fruitful to think of a measure as a form of metric. Indeed, (to keep formalities to a minimum), if $\mu$ is a probability measure on a measurable space $X$, then the $\mu$-measure of the symmetric difference of two measurable subsets is a pseudometric on the $\sigma$-algebra of $X$; factoring out sets of zero distance gives the measure algebra $\mathcal{M}(X,\mu)$ and the associated distance $d_\mu$ is complete. While $\mu$ is different from $d_\mu$, by virtue of the fact that many constructions in measure theory factor through the measure algebra (e.g. $L^p$ spaces), one could argue that these two objects serve similar functions. (see e.g. Equivalent definition of weakly mixing or https://www1.essex.ac.uk/maths/people/fremlin/mt.htm). (The proposed conflation is along the lines of Hirsch's conflation of maps and manifolds in differential topology.)
Added on 9/5/24: A paper along these lines is Kolmogorov's "Complete metric Boolean algebras".