Replication is a crucial aspect of ensuring data consistency and availability in distributed systems. This page outlines the various replication strategies that are commonly used.

Common Replication Strategies

  1. Master-Slave Replication

    • The master node handles all write operations, while the slave nodes replicate the data from the master.
    • Pros:
      • High write throughput on the master node.
      • Easy to implement and manage.
    • Cons:
      • Single point of failure on the master node.
      • Read scalability is limited.

  2. Master-Master Replication

    • Both master nodes can handle write operations, and changes are propagated to the other master.
    • Pros:
      • High write throughput on both nodes.
      • No single point of failure.
    • Cons:
      • More complex to implement and manage.
      • Conflict resolution can be challenging.

  3. Multi-Master Replication

    • Multiple nodes can handle write operations, and changes are propagated to all nodes.
    • Pros:
      • High write throughput across all nodes.
      • No single point of failure.
    • Cons:
      • Complex to implement and manage.
      • Conflict resolution is complex.

  4. Sharding

    • Data is divided into smaller, more manageable pieces and distributed across multiple nodes.
    • Pros:
      • High scalability.
      • Improved performance.
    • Cons:
      • Complex to implement and manage.
      • Data consistency can be challenging.

  5. Replication Factor

    • The number of copies of data that are stored across different nodes.
    • Pros:
      • Improved data durability and availability.
    • Cons:
      • Increased storage and network bandwidth requirements.

More Information

For more detailed information on replication strategies, please refer to our Replication Guide.

Replication Architecture