It is not easy task to answer - I wouuld prefer dice (Sørensen) distance because it retains sensitivity in more heterogeneous data sets and gives less weight to outliers. Alternatives (besides Jaccard) can be Euclidean distance, squared Euclidean distance, size difference, pattern difference, variance, dispersion, shape, simple matching, phi 4-point correlation, lambda, Anderberg's D, Hamann, Kulczynski 1, Kulczynski 2, Lance and Williams, Ochiai, Rogers and Tanimoto, Russel and Rao, Sokal and Sneath 1, Sokal and Sneath 2, Sokal and Sneath 3, Sokal and Sneath 4, Sokal and Sneath 5, Yule's Y, and Yule's Q.

Hope it helped,

Regards