USE CASE
Stream Database Changes as Events
Capture every insert, update, and delete as a real-time event. Unlike batch replication tools, Streamkap streams CDC events through Kafka—enabling event-driven architectures, not just data copies.
CDC Event Streaming Use Cases
Stream database changes as events to power real-time applications
Event-Driven Sync
Every database change becomes a Kafka event. Downstream systems react in real-time, not on a schedule.
Zero-Downtime Migrations
Migrate databases while keeping source and target in sync via continuous CDC events.
Multi-Consumer Events
Produce CDC events to Kafka once, consume them from multiple services—analytics, search, cache, and more.
Historical Change Tracking
Access the full history of changes to understand how data evolved over time.
How CDC Event Streaming Works
Source Database
PostgreSQL, MySQL, MongoDB, SQL Server, Oracle
Streamkap CDC
Capture changes as events with transforms
Kafka Events
Every change becomes a consumable event
Multiple Consumers
Analytics, search, cache, services
Why CDC Events Beat Batch Replication
CDC Events, Not Batch Copies
Streamkap captures changes as events, not periodic snapshots. Every insert, update, and delete streams in real-time.
Kafka-Native Architecture
All CDC events flow through Kafka, enabling event-driven architectures and multiple consumers.
Sub-Second Latency
Changes propagate in under a second—not the minutes or hours of traditional replication tools.
Supported Source Databases
PostgreSQL
MySQL
MongoDB
SQL Server
Oracle
Stream database changes as events
Real-time CDC events in minutes. No infrastructure to manage.