RDH-The Realtime Data Hub
forsecure legacy modernization
COBOL-based core systems are stable, proven, and business-critical.
However, accessing their data is often complex, risky, and slow.
RDH (Realtime Data Hub) enables real-time access to legacy data – without interfering with business logic or core code.
This creates modern data and integration capabilities while keeping the core system stable and untouched.
The core system is not the problem - data access is.
In many banks and insurance companies, a similar picture emerges:
- COBOL systems have been running for decades.
- However, data is locked in silos.
- Reporting is done in batches.
- New requirements lead to individual interfaces.
- Migrations increase the risk.
- Business units are waiting for evaluations.
- IT departments struggle with increasing integration complexity.
- Modernization projects are blocked by dependencies.
RDH addresses exactly this!
Decoupling as a principle.
RDH consistently separates data generation and data usage.
Changes in the core system are captured through standardized Change Data Capture (CDC) mechanisms and transferred to a central real-time hub.
From there, data is available in a controlled, secure, and real-time manner – for analytics, APIs, business applications, or cloud services.
The core system remains unchanged.
The business logic remains untouched.
Stability is maintained.
Once connected – usable in many ways.
Security and governance at the center
RDH was developed for regulated environments.
- No changes to the COBOL code
- No interference with existing business processes
- Controlled read and write access
- Central control of data flows
- Transparency and monitoring in real-time
- DORA-compliant architecture
RDH creates digital resilience through decoupling – not through risk.
Faster value for business areas
With RDH, data is immediately available in real-time.
New use cases do not require new point-to-point integrations.
Existing data services can be reused.
Business areas gain self-service capabilities without shadow IT.
The result:
- Faster decisions
- Shorter time-to-market
- Less coordination effort between IT and business areas
Economically sensible
- Classic integration projects incur high costs:
- Every new use case means analysis, coordination,
implementation, and
testing – often requiring 20 to 60 person-days of effort. - RDH replaces these individual integrations with a central platform.
- Even one avoided integration use case
can compensate for the annual RDH
costs.
Additionally, savings arise from reduced operational risks and lower IT effort. - RDH is not an additional complexity – but a reduction of it.
Typical use cases
- Real-time Fraud Detection
Transactions are evaluated in real-time. Anomalies are detected before damage occurs. - Real-time Credit Decision
- Credit checks are performed in seconds instead of minutes or hours.
- Self-Service Analytics
- Departments access current data directly – without batch delays.
- DORA-compliant Reporting
- Central control and transparency over data flows and dependencies.
- Migration Acceleration
- RDH serves as a decoupling layer for mainframe or core migrations.
- Old and new systems can operate in parallel – without a big bang.