Antstack

 Change Data Capture (CDC) is transforming the way organizations handle real-time data updates by enabling seamless, efficient, and low-latency data synchronization between systems. CDC continuously monitors and captures changes—such as inserts, updates, and deletes—in source databases and delivers them in real time to downstream applications. This ensures that data pipelines remain accurate, up-to-date, and responsive to operational needs. One of the key enablers of CDC is Apache Kafka , a high-throughput distributed event streaming platform. Kafka acts as a reliable backbone for transmitting CDC events from source databases to various destinations. It ensures durability, fault-tolerance, and scalability—making it ideal for real-time ingestion and distribution of massive volumes of data changes. By decoupling the data source from consumers, Kafka allows for flexible and scalable integration with analytics, monitoring, and data lake systems. Apache Spark complements this architectu...