Multi-Leader Replication
A replication topology where multiple nodes accept writes independently and sync with each other. Useful for multi-datacenter setups but creates conflict resolution challenges.
What is Multi-Leader Replication?
A replication topology where multiple nodes accept writes independently and sync with each other. Useful for multi-datacenter setups but creates conflict resolution challenges.
Multi-Leader Replication is a intermediate-level concept that sits in the Data Replication & Distribution area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Multi-Leader Replication" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
Learn Multi-Leader Replication in depth
Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
Open the Multi-Leader Replication lessonRelated lessons
Lessons that touch on Multi-Leader Replication as part of a larger topic.
See also
Related glossary terms you might want to look up next.
Replication
Keeping copies of the same data on multiple servers. Improves read performance and provides fault tolerance if one server goes down.
Eventual Consistency
A consistency model where updates propagate asynchronously and all replicas will eventually converge to the same value. Trades immediacy for availability.
CRDT
Conflict-free Replicated Data Type: a data structure that can be updated independently on different nodes and merged automatically without conflicts. Powers real-time collaboration like Google Docs.