Change Data Capture vs Log Based Replication
Developers should learn and use CDC when building systems that require low-latency data propagation, such as real-time analytics, data lakes, or event-driven applications, as it minimizes performance overhead compared to batch processing meets developers should learn log based replication when building or maintaining systems that require data redundancy, fault tolerance, or low-latency read access across multiple nodes, such as in microservices architectures or global applications. Here's our take.
Change Data Capture
Developers should learn and use CDC when building systems that require low-latency data propagation, such as real-time analytics, data lakes, or event-driven applications, as it minimizes performance overhead compared to batch processing
Change Data Capture
Nice PickDevelopers should learn and use CDC when building systems that require low-latency data propagation, such as real-time analytics, data lakes, or event-driven applications, as it minimizes performance overhead compared to batch processing
Pros
- +It is essential for scenarios like database migration, maintaining data consistency across distributed systems, and enabling reactive architectures where changes trigger downstream actions
- +Related to: database-replication, event-sourcing
Cons
- -Specific tradeoffs depend on your use case
Log Based Replication
Developers should learn Log Based Replication when building or maintaining systems that require data redundancy, fault tolerance, or low-latency read access across multiple nodes, such as in microservices architectures or global applications
Pros
- +It is essential for implementing master-slave or leader-follower setups in databases like PostgreSQL, MySQL, or MongoDB, where it helps prevent data loss during failures and supports real-time analytics by offloading queries to replicas
- +Related to: database-replication, distributed-systems
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Change Data Capture if: You want it is essential for scenarios like database migration, maintaining data consistency across distributed systems, and enabling reactive architectures where changes trigger downstream actions and can live with specific tradeoffs depend on your use case.
Use Log Based Replication if: You prioritize it is essential for implementing master-slave or leader-follower setups in databases like postgresql, mysql, or mongodb, where it helps prevent data loss during failures and supports real-time analytics by offloading queries to replicas over what Change Data Capture offers.
Developers should learn and use CDC when building systems that require low-latency data propagation, such as real-time analytics, data lakes, or event-driven applications, as it minimizes performance overhead compared to batch processing
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