Comparative Analysis of Data Migration Methods
Migration Methods |
Advantages |
Disadvantages |
---|---|---|
Big Bang Migration |
It is a single-step process, so it can be done quickly. It is simple because you concentrate on a single migration event. |
Risk is high because if any issue happens during the migration, the entire system will be affected. It is difficult to handle all the data at once. |
Incremental Migration |
It gives a chance to scale the migration efforts from smaller to larger data sets. Risk is low because if any issue occurs, you can simply check and fix the recent phase migration. |
It takes longer duration because of phase-by-phase migration. Too much of phases lead to increasing resource usage. |
Hybrid Migration |
It provides more flexibility. You can choose the migration methods based on the requirement. This method allows to optimal use of resources. |
It is a time-consuming method than single-step migration. Managing multiple migration methods simultaneously increases the complexity. |
Parallel Migration |
Risk is low because in case of data loss or system failure, the old system running continuously (as a fallback) It supports smooth transition due to the fallback system(the old system acts as a fallback). |
It is costly because of additional resources and hardware. This method is complex because needs to maintain data synchronizing. |
What are the Strategies for Data Migration in DBMS?
Data Migration means moving digital data. It is the process of transferring data to a different location, file type, media, storage system, database or application. Almost every company regularly migrates data due to system upgrades, increased data volume, improved system performance, and business process changes.