How Ververica Delivers Sovereignty for Financial Services Industry

Ververica Platform Architecture

Ververica delivers complete deployment freedom (on-premises, BYOC, or managed cloud) with identical capabilities across all three.

This isn't a tier game where sovereignty costs you features. It's architectural sovereignty by design. Engineered in Europe. Sovereign by design.

Apache Flink Foundation: No Lock-In

No Lock-In. No Latency. No Compromise.

Ververica is built on Apache Flink, the open-source stream processing framework we created. This isn't a marketing wrapper around proprietary code. It's genuine open-source foundations with enterprise capabilities layered on top:

• 100% compatible with open-source Apache Flink APIs (no proprietary extensions required)
• Applications can be migrated to self-managed Flink if needed
• Standard DataStream and SQL APIs preserve investment in application code
• Active open-source community supports long-term viability

Ververica enhances Flink with enterprise capabilities such as Autopilot optimizations, governance features, and operational tooling, while maintaining full compatibility with the open-source ecosystem.

Native Governance Architecture

Governance in Ververica is streaming-native, not an afterthought:

These governance capabilities are designed to support requirements from BCBS 239 (data lineage and traceability), GDPR (data classification and deletion), and DORA (audit trails and incident documentation).

Zero Trust Security Architecture

Key Architecture Principle: Ververica's BYOC deployment was engineered with Zero Trust principles. The architecture is designed to help customers maintain data governance ownership and retain data sovereignty, with data hosted in cloud environments controlled by them.

Ververica's security architecture implements Zero Trust principles throughout:

• Verify Explicitly: Every request authenticated via enterprise IdP integration (SAML, OIDC). MFA support. Short-lived credentials for all access.

• Least Privilege: Fine-grained RBAC with namespace isolation. Job-level permissions. No implicit admin access.

• Assume Breach: Pluggable TLS certificates enable custom encryption meeting enterprise security policies. Network isolation with Private Link support. Customers control their encryption configuration in self-managed and BYOC deployments.

Enterprise Operational Architecture

Ververica provides enterprise-grade operational capabilities required for FSI environments:

• High Availability: Multi-AZ deployment supported via Kubernetes. Automatic JobManager failover. Zero-downtime upgrades available.

• Autoscaling: Autopilot with stable and adaptive resource management. Automatic scaling based on workload, SLO rules, or schedules. Response times depend on workload characteristics and infrastructure configuration.

• Disaster Recovery: Checkpoint-based recovery from durable storage. Snapshots, checkpoint/savepoint resume, and state skip capabilities. Configurable RTO/RPO based on checkpoint frequency.

• Observability: Native metrics, logging, and tracing. Integration with Prometheus, Grafana, and enterprise APM tools.

Real-World FSI Implementations

The following case studies demonstrate how financial services organizations have leveraged Ververica to address sovereignty and operational challenges.

Global Bank - Mainframe Offloading

Challenge: A major global bank faced critical challenges with its legacy mainframe infrastructure: rising MIPS costs, 8+ hour nightly batch cycles composed of 30 tightly coupled steps, and dependency on proprietary COBOL-based systems. System instability threatened SLAs, and finding talent for legacy technologies became increasingly difficult.

Solution: Strategic data offloading using Ververica Platform powered by Apache Flink. Rather than a risky rip-and-replace, the bank maintained the mainframe as a secure source of truth while shifting computationally intensive workloads to modern streaming infrastructure. Critical COBOL business logic was refactored to Java, with data extracted via JDBC and processed in real-time.

Results:

• 90% reduction in mainframe MIPS consumption

• 60% faster batch processing (8+ hours reduced to ~3 hours)

• Over $1M annual cost savings

• Deployment from design to production in under 3 weeks

Sovereignty Relevance: This case demonstrates that sovereignty includes the ability to progressively exit closed, proprietary environments. By decoupling from mainframe dependency, the bank regained control over critical workflows, achieved workload portability, and established technological reversibility.

Reference: Global Bank Achieves 90% Cost Savings with Mainframe Offloading!

Humn.ai - Real-Time Insurance Risk Assessment

Challenge: Humn.ai needed to build a machine learning platform for commercial fleet insurance that calculates risk dynamically and updates pricing in real-time based on continuous behavioral data. Traditional batch-based risk models could not meet the responsiveness requirements, and sensitive telematics data required strict control.

Solution: Ververica Platform with Apache Flink deployed on Kubernetes, enabling stateful real-time processing. ML-based algorithms calculate risk scores for each insured asset dynamically, updating premium calculations in real-time as new data arrives.

Results:

• Dynamic risk scoring calculated per insured asset in real-time

• Usage-based pricing with continuous premium adjustments

• Kubernetes-native deployment enabling infrastructure flexibility

• Simplified job configuration, management, and monitoring via Ververica Platform

Sovereignty Relevance: Humn.ai demonstrates that real-time ML models can remain sovereign without sacrificing performance. Sensitive behavioral data stays under the insurer's control, infrastructure choices remain flexible (edge, on-prem, or European cloud), and there is no lock-in to SaaS pricing model providers.

Reference:  humn.ai Case Study

Evaluate Your Platform

• Quick assessment: Use the Streaming Sovereignty Checklist to evaluate your current platform's sovereignty posture against what regulators actually demand

• Structured evaluation: Apply the Sovereignty Evaluation Framework a 26-requirement scored assessment across five sovereignty domains.