Change Data Capture (CDC)
Utilize Kafka for Change Data Capture to stream database changes in real-time for various use cases.
What is Change Data Capture?
Imagine needing to know every time a record in your database is updated, inserted, or deleted, in real-time. This is where Change Data Capture (CDC) comes in!
CDC is a software design pattern used to track and capture changes made to data in a database. It focuses on identifying and capturing only the data that has changed, rather than performing full scans.
Real-Time Data with CDC & Kafka
Combining CDC with Kafka unlocks powerful capabilities for real-time data processing and integration:
- Real-time Analytics: Update dashboards and reports instantly.
- Data Synchronization: Keep multiple databases or data stores consistent.
- Event Sourcing: Reconstruct the full history of changes for auditing or debugging.
- Microservices: Enable services to react to changes in other services' data without direct database access.