Despite initial skepticism, a developer has successfully implemented basic graph algorithms like PageRank and WCC using Apache DataFusion on billion-scale datasets. The solution efficiently processes a two-billion-edge graph using a strict 10 GB RAM limit, significantly outperforming the memory footprint of traditional graph representations. This achievement highlights DataFusion's emerging potential for highly memory-efficient, large-scale graph analytics and entity resolution.