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This article explains the concepts of eventual consistency, hinted handoff queues and anti‑entropy in distributed databases, illustrates how they work with XDB Enterprise examples, and shows how AE restores data integrity after node failures or network partitions.
This article explains the concept of anti‑entropy as a key mechanism for achieving eventual consistency in distributed database systems, illustrates how XDB Enterprise handles node failures and data drift, and shows practical examples of repairing inconsistencies using the AE service.
The article uses a whimsical story of a coronavirus‑like virus transmitted from a bat to humans to illustrate the Gossip protocol, its three functions—direct mail, anti‑entropy, and epidemic spread—and discusses their advantages, drawbacks, and practical applications in achieving eventual consistency in distributed systems.