Change Data Capture

Overview

The Change Data Capture (CDC) Integration enables Genesis applications to efficiently track and synchronize real-time changes from relational databases, ensuring accurate and up-to-date data replication. By leveraging CDC, applications can capture, insert, update, and delete operations from external database systems such as PostgreSQL, MySQL, SQL Server, and Oracle, enabling seamless data flow and integration while minimizing performance impact. 

Features & Capabilities

Real-Time Data Capture: Monitors and streams database changes (inserts, updates, deletes) to ensure synchronization with Genesis applications. 

Streaming and Synchronization: Functions as a source, allowing continuous data ingestion and updates. 

Efficient Data Replication: Tracks row-level changes to minimize processing overhead and reduce latency. 

Schema Evolution Support: Notification of database schema changes while ensuring backward compatibility with additions, avoiding disruptions. 

Cross-System Compatibility: Ensures seamless data synchronization across heterogeneous databases and applications. 

Technical Highlights

  • CDC Engine Support: Utilizes Debezium, providing CDC integration with all major relational database technologies. 
  • Low-Latency Event Processing: Streams change events with minimal delay to ensure real-time updates. 
  • Fault-Tolerant Architecture: Supports retry mechanisms and event deduplication to prevent data inconsistencies. 
  • Flexible Data Transformation: Allows data filtering, enrichment, and mapping before ingestion. 
  • Error Handling & Logging: Provides detailed logs for change events, failed transactions, and recovery operations. 

Extensibility

  • Multi-Database CDC Support: Can be extended to capture changes from multiple databases concurrently. 
  • Integration with Data Pipelines: Supports event-driven workflows and real-time analytics. 
  • Custom Change Processing: Enables developers to filter, aggregate, and transform change events based on business logic. 

Genesis Data Processing Framework: Integrates with CDC to enable real-time data ingestion and transformation. 

Event-Driven Architectures: Supports Kafka, RabbitMQ, and other streaming platforms for scalable data processing. 

ETL Pipelines: Uses CDC to power incremental Extract, Transform, and Load (ETL) workflows. 

Category

Integration

Dependencies

Open-Source Platform for CDC (Debezium)  

Streaming & Message Queue System (e.g., Kafka, RabbitMQ, or direct integration with Genesis). 

Secure Authentication & Connection Settings (SSL/TLS encryption, role-based access control). 

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