Case Study: Rabobank achieves real-time, multi-account 8-year transaction search and millions in cost savings with Elastic

Rabobank Enhancing the Online Banking Experience with Elasticsearch

Rabobank, a global bank with nearly 900 branches in 50 countries and over 10 million customers, needed to give customers fast, real-time access to years of transaction data while staying PSD2-compliant. Their mainframe-based systems handled transactions well but struggled with complex search: customers could only retrieve one account at a time and only up to 16 months of history, forcing branch visits and extra charges. The goal was to enable searches across all accounts and up to 8 years of history without increasing mainframe costs.

Team Fortress proved a solution with an Elastic Stack proof of concept and a commercial subscription for required security features. They built an architecture that replicates transaction data into a datastore and an Elasticsearch index retained for eight years, delivering immediate speed and scale improvements. Today Rabobank searches 23 billion transactions (80 TB), processes ~200 events/sec (~10 million/day), lets corporate customers query thousands of accounts at once, saved millions of euros in mainframe costs, and uses Elasticsearch plus Logstash and Kibana for monitoring and alerting—improving reliability and visibility across the platform.

Rabobank

René Bouw

Product owner and solution architect of Team Fortress