This podcast explores the challenges and strategies behind scaling graph databases through sharding and distributed architectures. It discusses data partitioning, cross-shard traversal, consistency trade-offs, and performance optimization in large-scale graph systems. Perfect for database engineers, system architects, and developers working on high-scale graph applications and distributed data infrastructure.