De novo comparative metagenomics is one of the most straightforward ways to analyze large sets of metagenomics data. Latest methods use the fraction of shared k-mers to estimate genomic similarity between read sets. However, those methods, while extremely efficient, are still limited by computational needs for practical usage outside of large computing facilities.