Distributed SQL and why it can be the foundation for agentic scale

Growth in AI and agentic workloads are driving the need for database scale. Unlike traditional automation that relies on static workflows, agentic systems continuously plan, adapt, and act across tools and APIs—requiring a data platform that can keep pace with their speed and concurrency. Discover how distributed SQL provides the resilient, globally distributed foundation these agents depend on, ensuring consistent context, low-latency decision-making, and the ability to operate reliably even as workloads spike or shift across regions. Join Rob Reid, Technical Evangelist and co-author of CockroachDB: The Definitive Guide, 2nd Edition, alongside Dipti Joshi, Staff Product Manager, for an in-depth masterclass on distributed SQL and how it enables: - Agentic Scale: Add or remove capacity without disruption, adapting instantly to demand, with support for the largest distributed SQL clusters available on the market - Effortless Resilience: Node failures become invisible, ensuring continuous availability - Rolling Upgrades with Zero Downtime: Apply updates seamlessly without taking your database offline - Online Schema Changes on Massive Tables: Modify table structures in real time, even under heavy load