When to Use Change Data Capture (CDC) Data Replication

CDC (Change Data Capture) is a technology that tracks and updates data changes from multiple sources into repositories in near-real-time, enabling organizations to automate data integration and minimize downtime during data migration. It delivers fresher data into business workflows faster than batch-based data integration, making it useful for large-scale scenarios where urgency is critical. CDC data replication supports modern analytics workflows by providing up-to-date data within minutes, allowing machine learning and continuous analytics solutions to process new and recently changed data as it becomes available. However, true real-time data connectivity via data virtualization is ideal when organizations need to rapidly explore and provide small data selections on-demand directly from the source without preparing it in advance. Organizations should consider their specific needs, such as data age, transformation requirements, and infrastructure maintenance, when deciding between near-real-time and true real-time solutions.

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