How does Scala support high-throughput graph processing systems?

Scala enables graph processing using distributed engines like GraphX and Pregel-like models.

Graph processing systems in Scala (especially Spark GraphX) use vertex-centric computation models. Graphs are partitioned across clusters, and iterative algorithms (PageRank, shortest path) are executed in parallel. Message passing between vertices is optimized for distributed execution. Fault tolerance is achieved through lineage-based recomputation.