REPORT
Discover how distributed SQL is evolving to power the next generation of AI applications — without sacrificing resilience, performance, or simplicity.
A new generation of AI-driven applications is creating massive new demands on your data architecture. You can’t afford to choose between transactional integrity and AI performance — and now, you don’t have to.
This report explains how vector indexing is being natively integrated into distributed SQL databases, unlocking a unified, scalable foundation for AI chatbots, GenAI Ops, & agentic apps workloads.
This third party report from analyst firm Intellyx explores:
Why AI workloads are breaking conventional data architectures
How vector data changes the rules for indexing, retrieval, and scale
What makes distributed vector indexing uniquely difficult — and how CockroachDB solves it
How co-locating vector and transactional data reduces complexity and boosts accuracy
What real-world use cases look like in retail, banking, and insurance
“Why should data architects sacrifice the resilience, consistency, and scalability of distributed SQL as they move toward AI-native workloads? They don’t have to.”
Andy Kimball
Cockroach Labs Fellow & Vector Indexing Team Lead
Discover how to unify AI and transactional workloads with distributed SQL. Unlock faster insights, enterprise-grade reliability, and lower costs — all on one platform.
Download The New Blueprint for AI-Ready Data.