Amazon Aurora DSQL now supports change data capture (Preview)
Amazon Web Services has introduced change data capture (CDC) capabilities for Aurora DSQL in preview, allowing organizations to stream real-time database changes directly to Amazon Kinesis Data Streams. The fully managed feature automatically captures insert, update, and delete operations as change events, eliminating the need for custom streaming pipeline development and maintenance. The CDC functionality enables real-time data synchronization across microservices, downstream processing through AWS Lambda, and analytics delivery to services like Amazon S3, Redshift, and OpenSearch via Amazon Data Firehose. AWS designed the streaming capability to operate with zero impact on database performance, maintaining existing throughput and latency levels while capturing data changes. The preview feature is available across all AWS regions where Aurora DSQL operates, with billing based on Distributed Processing Units (DPUs) according to data volume captured, plus standard Kinesis Data Streams pricing. This addition positions Aurora DSQL as a more comprehensive solution for event-driven architectures and real-time analytics workflows in cloud environments.
Why It Matters
This CDC capability addresses a critical gap in real-time data architecture by providing native streaming without performance overhead. For enterprises building event-driven systems, this eliminates the complexity and maintenance burden of custom CDC solutions while enabling immediate data consistency across distributed systems. The zero-impact design is particularly significant for production databases where performance cannot be compromised for data streaming requirements.
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