Rocket® Data Replicate and Sync

Seamless, secure bidirectional replication and synchronization for real-time data management across the enterprise, powered by Rocket® DataEdge™

What’s blocking real-time data across your enterprise?

Fragmented platforms, modernization complexity, and compatibility gaps slow down AI and analytics initiatives. Rocket® Data Replicate and Sync (RDRS) connects mainframe, distributed, and cloud environments so your enterprise data moves faster, stays consistent, and scales without added complexity.

Zero compromise on data integrity

Without complete & reliable data, businesses can’t make sound decisions, improve operational efficiency, or build customer trust. RDRS automatically captures data changes and immediately replicates and synchronizes them bidirectionally across data stores, ensuring accurate, up‑to‑the‑minute information is always available.

Automatically replicate and stream real‑time data from core systems to analytics and event platforms so teams modernize and deliver insights without disrupting production workloads.

Deliver up-to-date, high-fidelity data to AI and analytics platforms using low-latency change data capture (CDC) so decisions reflect current state, not stale data.
Synchronize data across on-premises, cloud, and hybrid platforms, eliminating silos and creating a consistent enterprise data foundation.
Maintain uninterrupted data flow with restartable pipelines, recovery, rollback, and integrity controls—minimizing disruption during failures or changes.
Keep data aligned across systems with automated CDC and target-compatible data handling, reducing errors and manual rework.
Protect data in motion and at rest with encryption, secure connectivity, and access controls across all platforms and environments.

How does RDRS unify your enterprise data?

Modern enterprises run on many data types: customer records, operational metrics, market trends, and social media insights. RDRS brings it all together, keeping every source available, current, and secure so teams can act on complete information, not fragments.

Bring mainframe, cloud, and distributed data into sync

Accelerate your hybrid cloud data initiative with a real-time data replication and management solution built for enterprise-scale integration. RDRS supports the widest range of sources and targets, from IBM mainframe systems like z/OS®, z/VSE®, and Z Linux® to distributed, cloud, and streaming platforms, maintaining data consistency, accessibility, and readiness across environments.

End-to-end data replication and management: From mainframe sources like Db2® and VSAM, to distributed and cloud sources like Kafka, MySQL®, AWS®, and Azure®, achieve flawless real-time replication and bi-directional synchronization.
Cost-effective data capture: Significantly reduce mainframe CPU costs by leveraging cloud compute for data transformations.
One-to-many data replication: Reduce complexity and costs by capturing once and automatically applying to multiple targets.
Comprehensive data transformation: From simple string manipulation and calculations to advanced functions such as database lookups, calling REXX code and high-performance exit coding via scripting, and custom programming.
Extensive code catalog: Eliminate expensive manual coding with a robust inventory of codepage translations and data conversions.
Precision data control: Enable in-depth sync insight and pinpoint control with powerful mapping functions, repository options, and staging concepts.
Data pipe for the future: Drive an adaptive, forward-looking data strategy with features like decoupling, low latency parallel mass-data apply, and extensive bi-directional replication support.

See Rocket Data Replicate and Sync in action

In this demo video, discover how RDRS enables real-time data replication and synchronization across diverse environments. This solution ensures that your data remains consistent and accessible, facilitating efficient operations and informed decision-making.

How has RDRS made an impact for customers?

Michael Tores
Mainframe Systems Engineer
SDK Insurance

Rocket Software allowed us to bridge proven mainframe technologies with modern IT systems. We can seamlessly support ongoing modernization projects and react faster with fresh, up-to-date data.”

Scenario: A leading European bank, faced rising CPU costs due to increased transaction loads from online and mobile banking. Results: They implemented Rocket Data Replicate and Sync to offload data in real-time to a more cost effective system, significantly reducing their mainframe's CPU load. This not only led to considerable cost savings but also empowered the bank with real-time analytics, event handling, and fraud prevention, enhancing overall operational efficiency and data management capabilities.

Scenario: After a major corporate merger, SIA consolidated four data centers into two, expanding the IT landscape with a mix of technologies from IBM mainframes, to UNIX®, Linux, and Windows® workstations, paired with Db2 and Oracle databases.
Results: SIA successfully integrated these varied IBM mainframe systems with Db2 and Oracle® databases with Rocket Data Replicate and Sync. This ensured real-time data replication, minimal CPU consumption, and efficient cross-platform services, improved their bottom line and strengthened their market position.

Frequently asked questions

What is Rocket® Data Replicate and Sync (RDRS)?
Rocket® Data Replicate and Sync (RDRS) is a real-time change data capture (CDC) and synchronization solution that keeps data continuously aligned across IBM® mainframe, distributed, and cloud platforms. It enables organizations to modernize and operationalize mainframe data without disrupting production systems or relying on batch processes.
What problems does RDRS solve?
RDRS eliminates data latency, data drift, and operational risk created by batch extracts and fragmented replication tools. It enables trusted, real-time access to mainframe data for cloud platforms, analytics, AI, and modern applications while the mainframe remains the system of record.
What data sources and targets does RDRS support?
RDRS supports IBM z/OS®, z/VSE®, Linux on Z®, Db2®, and VSAM, as well as distributed and cloud targets including Kafka, relational databases such as MySQL®, and major cloud platforms like AWS® and Microsoft Azure®.
How does RDRS support hybrid cloud architectures?
RDRS is purpose-built for hybrid environments, streaming real-time data changes from on-premises mainframe systems to distributed and cloud platforms. This enables cloud adoption and modernization without forced migrations, data duplication, or re-architecting core applications.
How does RDRS reduce mainframe CPU costs?
RDRS captures only committed data changes in real-time, avoiding CPU-intensive batch jobs and extract processes. Transformation and processing can be handled off the mainframe, significantly reducing CPU utilization while maintaining continuous data delivery.
How does RDRS ensure data accuracy and integrity?
RDRS captures every committed transaction at the source and applies changes in order on target systems, preserving transactional consistency. This prevents data drift and ensures downstream systems always operate on accurate, up-to-date data.
Does RDRS support bi-directional replication?
Yes. RDRS supports bi-directional synchronization across mainframe, distributed, and cloud environments. This enables coexistence scenarios where multiple systems can safely read and write data while remaining synchronized.
How does RDRS support AI and analytics initiatives?
RDRS continuously streams trusted operational data into data lakes, data warehouses, and streaming platforms, ensuring AI models and analytics workloads run on current production data rather than stale batch snapshots.
How does RDRS handle data security?
RDRS respects existing mainframe security controls and works with encrypted data without weakening protections. Data integrity is maintained throughout replication and migration, enabling secure sharing of sensitive enterprise data across platforms.