In the last issue, we kicked off a 2-part series exploring common data replication strategies. We learned about the leader-follower model - its synchronous and asynchronous variations, consistency considerations, failure handling, and more. In this issue, we'll examine two alternative approaches - multi-leader and leaderless replication. We'll contrast their designs, dive into how they work, and see the types of use cases where they excel.

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Multi-leader replication involves the use of multiple primary nodes, also known as leaders, each capable of receiving and processing write requests. These leaders replicate data between each other to stay up to date. The primary advantage of this model is increased write availability. With multiple active leaders, failure of one node doesn't disrupt writes.

How to Choose a Replication Strategy