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SOLUTION 10
ENTERPRISE DATA INTEGRATION
Intelligent enterprise data integration makes mainframe and legacy data available to modern applications without moving it wholesale or locking it away. CCA combines automated discovery, real-time change data capture, virtualisation and governed data delivery, so teams work from curated, lineage-tracked data rather than batch extracts and unofficial copies.
Trapped Between Two Undesirable Choices
Locked-Away Data Stalls AI. Full Migration Is Disruptive.
The choice: Lock Data Away on the Mainframe
What it means: Keep core transactional data walled off to protect it, starving analytics, AI, and modern applications of the data they need.
Why it fails
Data Locked on the Mainframe
- 27% of knowledge workers’ time is spent just searching for the data they need
- Core transactional data stays difficult to access, understand, and govern
- Analytics, AI, and downstream applications work from stale or incomplete data
- Batch extracts and fragmented tools introduce latency and operational risk
The choice: Force a Full Migration
What it means: Extract and migrate mainframe data wholesale to modern platforms, risking disruption to the systems that run the business.
Why it fails
Full Data Migration
- Forces a full migration or rebuild instead of incremental modernisation
- Risks disrupting the mission-critical systems that run the business
- Duplicates sensitive data across multiple copies and platforms
- High cost and risk before any value is realised
A Governed, Non-Intrusive Integration Strategy
Rocket DataEdge connects core transactional, distributed, and cloud data through full discovery, lineage, replication, and virtualization - without disrupting the systems of record.
Treat Your Data Like a Product
An integrated, high-quality, ready-to-use dataset that users can easily access and customise for specific business needs improves decision-making and simplifies compliance.
Companies that treat data like a product can reduce new use-case development time by up to 90% and lower total ownership costs by up to 30%.
Significantly Reduces Integration Risk
- Non-intrusive architecture doesn’t interfere with existing workloads or require application changes
- Real-time, log-based CDC keeps sources and targets in sync without disruptive batch processes
- Data virtualization delivers on-demand access without duplicating or moving sensitive data
- Central policies, RBAC, encryption, lineage, and audit trails built in for compliance by design
Enterprise Data, Connected, End to End
Discover, replicate, and virtualize data across mainframe, distributed, and cloud environments.
Mainframe & Core Systems
IBM Z, IBM i, Db2, VSAM
Rocket DataEdge
Discover, Replicate, Virtualize
Cloud, Analytics & AI
Governed, AI-ready data
Purpose-Built Components, Working as One
Data Intelligence
Automated data discovery, business glossary, and end-to-end lineage give teams governed, self-service visibility into data across mainframe, distributed, and hybrid systems.
Data Replication & Synchronization
Log-based, bidirectional CDC with transactional fidelity and schema evolution keeps sources and targets in sync in real time, at sub-half-second latency.
Data Virtualization
A logical data layer with federated query, SQL/REST access, pushdown optimisation, and caching activates data without extra copies.
AI-Ready Data Delivery
Curated, reusable datasets and APIs stream to warehouses, lakes, and streaming platforms with pushdown ELT - publishing governed data products everywhere.
“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.”
Michael Tores, Mainframe Systems Engineer, SDK Insurance
What the Solution Delivers
Governed Discovery & Lineage
Catalog, business glossary, and column-level lineage for confident, self-service data use.
Real-Time Replication
Sub-half-second, bidirectional CDC keeps distributed and cloud environments aligned with transactional data.
No-Copy Data Access
Data virtualization and federation deliver on-demand access without duplicating sensitive data.
Compliance by Design
Central policies, RBAC, masking, encryption, and audit trails enable safe self-service and audit readiness.
Outcomes That Matter to the Business
Reduce New Use-Case Development Time by Up to 90%
Lower Total Data Ownership Costs by Up to 30%
Deliver Trusted, AI-Ready Data Without Migration Risk
Modernise at Your Own Pace, Application by Application
Prove Compliance With Built-In Lineage and Audit Trails
Frequently asked questions
Do we have to migrate our mainframe data to make it available?
No. Intelligent enterprise data integration makes mainframe and legacy data available to modern applications without moving it wholesale or locking it away. Rocket DataEdge connects core transactional, distributed and cloud data through discovery, lineage, replication and virtualization, without disrupting the systems of record.
Will integration interfere with our existing workloads?
The architecture is non-intrusive: it does not interfere with existing workloads or require application changes, and real-time log-based change data capture keeps sources and targets in sync without disruptive batch processes.
How do we avoid creating more copies of sensitive data?
Data virtualization delivers on-demand access without duplicating or moving sensitive data, so access can be granted without another copy of that data existing to govern.
What does treating data like a product mean in practice?
It means an integrated, high-quality, ready-to-use dataset that users can access and customise for specific business needs. Companies that work this way can reduce new use-case development time by up to 90% and lower total ownership costs by up to 30%.
Which systems and targets are covered?
IBM Z, IBM i, Db2 and VSAM on the mainframe, plus distributed and cloud environments. Governed, AI-ready datasets and APIs are then delivered to warehouses, lakes and streaming platforms.
How are governance and access control handled?
Central policies, role-based access control, encryption, lineage and audit trails are built in. Automated discovery, a business glossary and end-to-end lineage give teams governed, self-service visibility into data across mainframe, distributed and cloud environments.
See how much value is locked inside your mainframe data.
Talk to a consultant about connecting Rocket DataEdge to your enterprise data ecosystem.
Talk to a consultant
