FinancialServices

Financial Services

Stackable solutions

Why Stackable for the Financial Services?

The Stackable Data Platform meets the specific requirements of banks, insurance companies and other financial service providers that have to comply with increasingly strict (cybersecurity) regulations such as DORA, NIS2, CRA and NIST.

It also enables financial services organizations to modernize data architectures into flexible, future-proof and secure landscapes of interconnected data products.

The platform gives the financial services industry all the tools it needs to secure systems, streamline operations and comply with ever-evolving regulations.

Find out what our platform can do for you.

“Stackable has supported us very well in ensuring that we can now operate our fraud detection product scalably in the cloud. The result is not only a high-performance system. We have also been able to more than halve our costs in this area.”

Ronald Hapke, Tribe Lead “Security Solutions”, Atruvia AG

→ Read the full case study (English / German)

"The Stackable Data Platform greatly simplifies the management of complex environments with numerous components thanks to its K8s operators. This significantly increases flexibility while reducing operational effort."

Nick Alexander, Systems Architect, Discovery Health

→ Read the full case study (English)

Solution highlights

At Stackable, security and compliance are integrated into all aspects of modern operations. Our platform ensures the highest level of security through:

Daily vulnerability scans and critical vulnerability analysis
Kerberos, LDAP, and OpenID Connect (OIDC) support
Row and column-based security for sensitive data
Default secure TLS configuration
Policy-based authorization with Open Policy Agent (OPA)
Support for air-gapped environments
SBOMs for full transparency of all artifacts
Signed container images and Helm charts

Stackable’s flexible architecture helps financial services build scalable, future-ready data infrastructures. It’s “as-code” approach allows for:

Defined data architecture in code for various financial use cases and data products
Simplified scaling and data management across environments
Seamless integration with on-premise and/or cloud systems
Advanced features like data virtualization and support for data Lakehouses
Dynamic resource management for high-performance workloads

Stackable ensures your data platform based on open source remains a reliable, high-performing foundation for your business in any situation:

24/7 service & support, backed by strict SLAs, ensuring operational continuity
No vendor lock-in, with complete flexibility to customize or replace components
Red Hat OpenShift compatibility for easy deployment and management in existing or new environments
Maximized ROI through transparent, open-source solutions at competitive prices

Case Study: Stackable Data Platform for Discovery

Case Study: A Modern Data Platform for Artificial Intelligence

Background: Discovery, a leading South African financial services organization, supports over 60 data scientists with a data platform for advanced analytics and machine learning. Their legacy on-premises setup—including HBase, YARN, HDFS, Kafka, NiFi, and CDSW—faced challenges like package management issues, version conflicts, and inefficiencies with Kubernetes. HDFS was poorly optimized for their InfiniBand network, causing overhead and underutilized hardware.

Challenge: Discovery needed a flexible, scalable solution to simplify updates, reduce operational complexity, and support growing data science and AI demands. Their existing infrastructure was rigid, time-consuming to maintain, and unable to meet performance requirements for modern workloads.

Solution: Discovery migrated to the Stackable Data Platform, leveraging its Kubernetes-native architecture. They replaced HDFS with VAST DataStore, adopted Trino (replacing Hive and Impala), introduced Apache Iceberg for storage, and upgraded from Spark 2 to Spark 3 for GPU acceleration. The migration of 400 TB of data was completed over a weekend with minimal downtime.

Result: The new platform delivered greater agility, scalability, and operational efficiency. Shared infrastructure now supports ETL, streaming, and machine learning across business units. Operator-managed components reduced complexity, enabled tools like Ray, and improved query performance. Enhanced data virtualization and an open-source approach ensure future-proof adaptability and innovation.

→ Learn more about this in the full case study (English)

Case Study: Stackable Data Platform for Atruvia

Case Study: Real-time Fraud Detection

Background: Atruvia, the IT service provider for Germany’s Volksbanken and Raiffeisenbanken, is responsible for handling critical banking operations, including fraud detection, across its network. They needed a robust and scalable system to ensure high-performance fraud detection to combat the increasing variety of phishing attempts, scam phone calls, and other fraud risks.

Challenge: Atruvia’s existing big data platform was struggling to keep up with the high volume of real-time financial transactions where every millisecond counts. The existing platform was becoming outdated and inefficient. The company needed a modern solution that could meet performance requirements and ensure data security while maintaining strict regulatory compliance. When their previous platform provider restructured, Atruvia needed an alternative solution that was both scalable and adaptable to their evolving needs.

Solution: Atruvia selected Stackable and its Stackable Data Platform to deploy Apache HBase and Hadoop HDFS for its real-time fraud detection system. Stackable’s modular design allowed Atruvia to seamlessly migrate to a Red Hat OpenShift private cloud, improving both performance and reliability.

Result: The Stackable platform’s flexibility and support for European security standards ensured that Atruvia could effectively address its performance and compliance challenges. The migration resulted in a more efficient and secure fraud detection system that operates reliably across two data centers, reducing fraud detection costs by more than 50%.

→ Learn more about this in the full case study (English / German)

More references

Discover how Stackable’s data platform enhances security and governance for financial services in this demo. It highlights seamless single sign-on, advanced impersonation for role-based access, and key features like row-level security and data masking to protect sensitive information.

Our specialist for financial servcices solutions

Need more Info?

Contact Sönke Liebau to get in touch with us:

Subscribe to our Newsletter

With the Stackable newsletter, you’ll always stay up to date on the latest from Stackable!

Newsletter

Subscribe to the newsletter

With the Stackable newsletter you’ll always be up to date when it comes to updates around Stackable!