Change Data Capture Integration
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.
Platform Overview
Features & Capabilities
Real-Time Data Capture
Monitors and streams database changes including inserts, updates, and deletes to keep Genesis applications synchronized.
Streaming & Synchronization
Functions as a continuous source for real-time data ingestion, updates, and downstream synchronization.
Efficient Data Replication
Tracks row-level changes to reduce processing overhead, minimize latency, and improve data movement efficiency.
Schema Evolution Support
Detects database schema changes while maintaining backward compatibility and avoiding disruption.
Technical Highlights
CDC Engine Support
Utilizes Debezium to provide CDC integration with major relational database technologies.
Low-Latency Event Processing
Streams change events with minimal delay, enabling real-time data availability across applications.
Fault-Tolerant Architecture
Supports retry mechanisms and event deduplication to prevent data inconsistencies.
Flexible Data Transformation
Allows data filtering, enrichment, and mapping before ingestion into Genesis applications.
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 across connected systems.
Custom Change Processing
Enables developers to filter, aggregate, and transform change events based on business logic.
Related Technologies
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 workflows.