Differece Between Trigger Bases And Log Based

Log Based replication. This is when the replication server reads the logs from the database to pick up the data movements. Trigger based replication. When a change occurs in the source database a trigger is fired to track the data change. ETL. This is when an ETL tool is used to move data from Source to Target.

Log based replication is probably the most common and popular approach that many tools support in order to capture changes on a source database.This approach is often viewed as the least invasive

What I'm curious about is the difference in how CDC, triggers, and replication detect changes in the target table. In my opinion, CDC and replication were methods for detecting changes in the transaction log, and triggers continuously checked for changes in the table directly.

In a quottransaction logquot based CDC system, there is no persistent storage of data stream. Kafka can be used to capture and push changes to a target database. The key difference between transaction log CDC and trigger-based CDC is that every change will go into a transaction log generated by the database engine.

As I the SQL Server 2016 SP1 standard edition supports Change Data Capture I am wondering are their any prosconsdifferences between using it and trigger-based logging? I have check and only log things you want to log Triggers can easily be temporarily disabled for things like bulk loads, or if the business is facing huge load demands

The primary difference between trigger-based and log-based Change Data Capturelies in their approach Trigger-based Directly interacts with database tables suitable for smaller datasets. Log-based Utilizes transaction logs ideal for large-scale operations requiring minimal impact on source systems.

The log-based mode and the trigger-based mode are two different modes of capture. Capture mode Description Log-based The journal .JRN file is created at the installation step during the journalization process, in the selected directory. The capture engine stores the transactions in the .JRN file and those transactions are then read by the

Triggers may still be useful for certain scenarios, like enforcing business rules or initiating specific actions, but for data replication, auditing, and reporting purposes, log-based CDC is the

The trigger-based approach was preferred before log-based solutions were developed. Nowadays, organizations want to avoid the impact of triggers on database processing. However, trigger-based CDC still works well, and even SAP's native solution for CDC from SAP HANA relies on it. There are two common implementations for trigger-based capture

The difference between log-based and trigger-based CDC is that the first one uses a core functionality of the database transaction log meanwhile, the triggers are created and defined by the user. Since database logs are updated in every transaction, the experience is transparent, which means log-based CDC does not require any logical changes