Case Study: Major Financial Services Provider Improves Risk Management Performance with SingleStore

Improving Risk Management Performance with SingleStore and Kafka

Major Financial Services Provider needed to improve the performance, freshness, and ease of development of its risk management and analytics environment. The company was relying on an Oracle-based data warehouse with irregular ETL cycles, which led to stale data, operational complexity, and difficulty supporting high-concurrency, real-time risk analysis. SingleStore was chosen to replace Oracle for analytics support, with Kafka used for streaming data ingestion.

SingleStore implemented a simpler architecture centered on Kafka, SingleStore, and Hadoop/HDFS, consolidating analytics into a dedicated SQL database while keeping a separate data lake for long-term storage. The result was faster intraday data availability, sub-second query response times for dozens of queries per second, improved uptime, and lower costs through reduced Oracle licensing, hardware, and operations overhead. SingleStore also enabled more recent risk data, less coding for new apps, and better support for analytics and data science.