How CME Group builds a faster, smarter exchange on Cloud SQL

Editor’s note: The Chicago Mercantile Exchange (CME Group) has evolved from a nineteenth-century commodities exchange into one of the most advanced financial market infrastructures in the world. To support real-time trading and risk management at a global scale, the company launched a strategic partnership with Google Cloud. By migrating to Cloud SQL and adopting AI-powered insights, CME Group empowered developers, paid down technical debt, and unlocked new opportunities for data-driven innovation across financial markets.

From butter and eggs to bandwidth

CME Group is where risk meets opportunity. Every transaction that happens in our exchange — every order placed, trade executed, or risk calculated — relies on data moving flawlessly and instantly. The integrity of our markets depends on it.

Behind each of those trades is a database storing valuations, ownership, and so much more information, all of which can shift from millisecond to millisecond throughout the day. At our scale, those databases have to store and retrieve that information under relentless demand. We’re processing millions of messages a day with no margin for latency or error. That level of precision doesn’t come easily, especially in a highly regulated industry where performance has to coexist with security and reporting. Every change we make must align with strict compliance standards and global regulatory frameworks. 

Speed has always been our currency, but scale became a challenge. CME Group’s legacy database estate required significant engineering effort to maintain performance and meet regulatory demands. We needed to reduce operational overhead while improving our security posture. This required a managed database solution that offered transparent observability and clear compliance controls.

When Cloud SQL meets the trading floor

Our 10-year strategic partnership with Google Cloud aims to address this by migrating all our technology to the cloud, enabling us to innovate and collaborate on pushing the boundaries of what cloud infrastructure can support. Together, we’re experimenting with new ways to achieve ultra-low-latency performance in the cloud. As data volumes surge and AI becomes increasingly central to risk management, the ability to move and interpret information in milliseconds is a technical requirement. We’re building systems with Google Cloud that let us keep the market running, even as we lead it into the future.

With Cloud SQL, we’ve found a way to keep our data layer as fast and dependable as the markets we serve. Cloud SQL gives our teams real-time visibility into what’s happening inside the database. When an application slows, we can identify the root cause in minutes instead of hours. Those insights are built into the platform, which means we don’t need custom tooling or manual analysis to keep operations steady.

But for us, the value of Cloud SQL goes beyond performance tuning. It’s about confidence. Our database administrators can focus on strategic improvements, and our developers can validate and optimize queries without waiting for escalation. Taken together, we have faster troubleshooting and a data foundation ready for the always-on demands of global trading.