# Change Data Capture Using AWS DMS: Streaming This architecture shows how to use AWS Database Migration Service (AWS DMS) to ingest real-time changes from source databases through streaming services. ## Change Data Capture Using AWS DMS: Streaming ![Architecture diagram showing change data capture using AWS DMS to stream data through Amazon Kinesis and Amazon Managed Streaming for Apache Kafka.](http://docs.aws.amazon.com/reference-architecture-diagrams/latest/change-data-capture-dms/images/change-data-capture-dms-2.png) The following steps describe the architecture: 1. Sources for CDC include Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Amazon Aurora, Amazon DocumentDB, and Amazon RDS. 1. AWS DMS helps you with one-time data migration of databases and continuous data replication. AWS DMS captures changes on the source database and applies them in a transactionally consistent way to the target. 1. Use AWS DMS to stream data to an [Amazon Kinesis](https://docs.aws.amazon.com/streams/latest/dev/introduction.html) data stream and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to collect and process large streams of data. 1. Use purpose-built services for analytics in your data lake or data warehouse. 1. Visualize and consume data using [Amazon Quick Sight](https://docs.aws.amazon.com/quicksight/latest/user/welcome.html) and SageMaker AI Notebooks. ## See also * **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Reference Architecture Diagrams. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query reference-architecture-diagrams` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).