In today’s digital economy, real-time data is no longer optional — it is essential. Organizations rely on timely insights to power analytics, dashboards, AI models, and cloud applications.
However, many enterprises still run their most critical workloads on mainframe systems such as VSAM, DB2 for z/OS, and IMS — alongside modern databases like Oracle, SQL Server, Cassandra, and various cloud platforms.
This raises a key question:
How does enterprise data move from legacy systems to modern analytics platforms in near real time?
Change Data Capture (CDC) is the technology that makes this possible.
Instead of copying entire databases repeatedly, CDC captures only what has changed — inserts, updates, and deletes — and streams those changes continuously to target systems.
Source Systems (Mainframe / DB2 / IMS / VSAM / Oracle / SQL Server / Cloud Databases)
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CDC Engine
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Kafka / Data Warehouse / Cloud Platforms / Streaming Applications
This approach ensures efficiency, speed, and minimal system impact.
Modern enterprise CDC tools — such as IBM InfoSphere Data Replication (IIDR) — read native database logs directly.
This enables:
These capabilities ensure reliable, scalable, and secure data movement across enterprise environments.
Several leading CDC platforms support mainframe and distributed data sources, including:
Each platform provides powerful capabilities for integrating legacy and modern ecosystems.
At CCTS Global, we specialize in end-to-end CDC implementation with deep expertise in z/OS and mainframe replication.
We help organizations harness real-time data securely, efficiently, and at scale—bridging mainframes, distributed systems, and cloud platforms.
