Multi Leader Replication
Explore the concept of multi-leader replication and how it allows multiple nodes to accept writes simultaneously across geographically distributed datacenters. Learn about its benefits such as reduced latency, asynchronous data propagation, and fault tolerance during datacenter failures. Understand use cases including offline data synchronization and collaborative editing, and compare it with single-leader replication to grasp key differences in performance and reliability.
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In contrast to single-leader replication, allowing multiple nodes to accept writes is known as multileader replication or active/active or master-master replication. Each node processing a write must forward the change to all other nodes, thus a leader in this scenario is also simultaneously a follower.
One of the use cases of multileader replication is when a distributed system has data spread across multiple datacenters which are geographically distant from each other. Such an architecture is usually employed to move data closer to the users or be able to withstand failure of an entire datacenter. Additionally, with single ...