Case Study: a European FinTech company saves 70% on log analytics with ChaosSearch

A European FinTech leader is on pace to save 70% pairing ChaosSearch with Splunk

European FinTech Company, one of Europe’s fastest-growing fintech platforms, needed a more cost-effective way to manage massive and rapidly growing log data. Its existing Splunk-based approach was too expensive and began to run into performance, retention, and real-time audit reporting limitations as transaction volume surged.

ChaosSearch provided a new log analytics layer alongside Splunk, indexing data in S3 without data movement or ETL and reducing the number of nodes and engineering effort required. With ChaosSearch, the company extended retention from weeks to years, improved scalability and visibility, and is on pace to save 70% overall, or about $3.5 million per year.