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What is AWS Database Migration Service and Some Limitations

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What is AWS Database Migration Service and Some Limitations

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  1. What is AWS Database Migration Service and Some Limitations Amazon Web Service Database Migration Service (AWS DMS) is a cloud-based AWS that migrates data in a variety of ways – either from on-premises or cloud-hosted data stores to the AWS cloud. DMS migrates data from data warehouses, No SQL databases, relational databases, and other types of data stores. AWS DMS is flexible and versatile and can handle one-time data migration or perform continual data replication with ongoing changes by syncing the source and the target databases. 

  2. However, despite its efficiencies, here are some AWS DMS limitations.  •Conversion issues: AWS DMS does not do schema or code conversion and tries to create a target schema at destination when migrating data during homogeneous migration. This is not always possible in the case of Oracle databases. In the case of heterogeneous migration too, AWS DMS alone cannot do schema conversion and the AWS Schema Conversion tool is required. 

  3. •Coding requirements: Another of AWS DMS limitations is that it needs some coding for Change Data Capture of incremental loads which can be a complex and time-consuming affair.  •Issues with ongoing replication: During data replication, only a limited amount of data definition language (DDL) is replicated by AWS DMS. Items such as indexes, users, and privileges that are not directly related to table data cannot be processed by AWS DMS. 

  4. •A slowdown of source systems: For migrating large amounts of data with AWS DMS, the migration service often uses resources on the source database. Further, for every task that is created for the migration, the source database is queried for changes as part of CDC and this impacts the source, slowing it down.  These are some of the AWS DMS limitations faced by users during migration.

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