Database sharding is a technique used to horizontally partition large databases into smaller, more manageable pieces called "shards." Each shard is an independent database that holds a subset of the entire dataset. Instead of a single, massive database handling all queries, multiple shards process queries in parallel, significantly improving performance, scalability, and availability.