The role of distributed SQL in AI architectures

Many AI applications now rely on both vector data and transactional data, but stitching these together across separate systems introduces latency, operational overhead, and stale results. This report explores how distributed SQL is emerging as a unified foundation for AI-ready architectures — one that can scale globally, simplify data infrastructure, and support real-time, resilient AI features.

Webinar: How to build resilient AI apps that scale

Legacy databases buckle under the demands of modern AI applications. They weren’t built for elastic scale, always-on availability, or globally distributed data. Join the webinar on July 17 to learn why distributed SQL is uniquely equipped to support both transactional and AI workloads.

Best of RoachFest25: Future-proof your database infrastructure

If you missed the database event of the summer in London, or just want to relive the best parts, we’ve curated the key learnings from RoachFest25 London, including insights from leaders at Booking.com, Kaizen Gaming, PwC, SumUp, and more, for a can’t-miss one-hour virtual event on August 5.

Webinar: How OpenAI kept auth alive at 800M users

When usage rockets from thousands to hundreds of millions, authentication is the first system to snap. Join us on July 24 to hear Ory’s Jeff Hickman and Cockroach Labs’ David Joy unpack the identity‑and‑database architecture that let ChatGPT grow without breaking. Steal their checklist, dodge vendor lock‑in, and give every user a flawless login no matter how fast you scale.

How to build a RAG app on CockroachDB

Learn how to ground your LLMs in private data without sacrificing speed or scale. With CockroachDB’s pgvector compatibility, you can easily build reliable, production-grade RAG applications.