Your AI initiative is only as powerful as the architecture it’s built on. Legacy databases weren’t designed for elastic scale, always-on availability, or globally distributed data. And while many vector databases promise AI-friendly retrieval, they often introduce tradeoffs in performance, consistency, and operational complexity. Distributed SQL is changing that.
By combining the transactional integrity of relational systems with the scale and resilience of modern cloud infrastructure, distributed SQL provides a unified foundation for AI and operational workloads alike.
In this session, you’ll learn:
- What makes distributed SQL different, and why it’s uniquely equipped to support both transactional and AI workloads
- How combining vector and structured data in a single distributed system reduces architectural complexity and boosts performance
- Why pgvector support in CockroachDB enables fast, flexible AI retrieval in a Postgres-compatible interface
- How CockroachDB solves distributed vector indexing while preserving scale, latency, and resilience
Whether you’re modernizing legacy systems or building cloud-native applications, this exclusive dinner will provide actionable insights to future-proof your database strategy
