Using Change Data Capture (CDC) in ScyllaDB

Change Data Capture (CDC) in ScyllaDB is a powerful feature that allows users to track data updates by recording modifications in a database table, enabling asynchronous consumption of these changes. Unlike Apache Cassandra's implementation, ScyllaDB's CDC is more accessible, as it is just another CQL table, allowing for easy integration and consumption using standard CQL queries. Users can customize the level of detail captured, such as pre-image, post-image, and deltas of changes, with options to limit storage overhead through TTL settings. ScyllaDB's CDC offers use cases like fraud detection, data streaming, and data replication, while ensuring data consistency and distribution align with the original data to minimize system impact. Despite the performance overhead of additional reads required for pre and post-image data, the CDC implementation is designed to be robust and easy to integrate, providing deduplicated and ordered data changes that can be consumed in various ways, including integration with tools like Kafka.