Case Study: Atruvia

Phishing scams, shock calls, fake online stores, alleged debt collection letters, emails or text messages from supposed banks: when it comes to fraud detection, financial service providers are constantly having to adapt to new challenges. In particular, the real-time detection of fraud attempts is critical to success. Atruvia, an IT service provider for the German „Volksbanken and Raiffeisenbanken“ and other companies and central institutions in the cooperative financial group, is also dealing with this issue. Due to the high volume of data, Atruvia has taken on this challenge with the help of a highly scalable big data solution in its own data center, which checks transfers for known fraud patterns in real-time. The performance of the system is of crucial importance here. This is because in financial transactions, such as bank transfers, every millisecond counts, especially at the point between the customer‘s request and the actual execution.

When the market for big data distributions changed and the software previously used by Cloudera was restructured, it became imperative to migrate the big data cluster and Atruvia looked for an alternative big data distribution. The team found what it was looking for in Stackable, a provider of a modern and modular open source data platform from Germany.