Case Study: a Fortune 100 investment bank achieves real-time, scalable trade and customer analytics with InterSystems Data Platform

Fortune 100 Investment Bank scales trade queries to milliseconds with InterSystems

A fortune 100 investment bank faced significant challenges with its existing Hadoop data lake, which could not support real-time data streams, complex analytical reporting, or the required millisecond query response times for its customer management application. The bank needed a solution that could handle terabytes of trade data, ensure compliance traceability, scale dynamically, and reduce infrastructure costs. To address this, they turned to the InterSystems data platform.

InterSystems implemented its data platform to integrate with the bank's HDFS, combining historical and current data into a single high-performance system. The solution provided full ANSI SQL support for complex queries and joins, dynamic vertical and horizontal scaling on commodity hardware, and government-grade security. As a result, the bank met its stringent performance SLAs, achieved significant infrastructure cost reductions, and future-proofed its data architecture to support evolving business needs.