[Amazon Database Migration Service](https://aws.amazon.com/dms/) (DMS) is a tool used to replicate data from a source database and a supported destination (e.g. PostgreSQL, S3, Kinesis, etc.). It is marketed as a way to migrate on-prem databases to a database in the cloud but is also often used to perform ongoing [[Change Data Capture|change data capture]]. ## Amazon DMS Official Documentation https://docs.aws.amazon.com/dms/latest/userguide/Welcome.html ## Amazon DMS Advantages - Simple to use - Supports several data sources and destinations - Migrate data with minimal downtime - Cost effective ## Amazon DMS Disadvantages - A replication instance can't be scaled up or down - A replication instance can't be stopped, only deleted - Each source and destination have their own specific limitations (see docs) ## [Amazon DMS Recent Posts](https://www.reddit.com/r/dataengineering/search/?q=AWS%20DMS&restrict_sr=1&sr_nsfw=) %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Tools/Data%20Ingestion/Amazon%20DMS.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Tools/Data%20Ingestion/Amazon%20DMS.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Tools/Data%20Ingestion/Amazon%20DMS) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Tools/Data%20Ingestion/Amazon%20DMS)</span>