Case Study: Grasshopper achieves faster, more sophisticated trading with Solace PubSub+

Grasshopper - Customer Case Study

Grasshopper, a Singaporean trading firm and designated market maker on major exchanges, handles thousands of trades a day and over $500 billion in monthly notional value. To improve its low-latency trading system and enable predictive trading, Grasshopper turned to Solace and its PubSub+ platform to connect real-time market data across on-premises and cloud environments.

Solace helped Grasshopper build an event mesh that linked Google Cloud-based machine learning tools with its trading infrastructure, supporting Apache Beam and TensorFlow workflows. The result was faster, more sophisticated trading with AI-driven insights, plus scalable, fault-tolerant data movement that met strict latency and connectivity requirements without expanding on-prem infrastructure.

Grasshopper

Tan T-Kiang

Chief Information Officer