July 17, 2025 at 10:00am PDT
45 minutes
Your AI initiative is just as highly effective because the structure it’s constructed on. Legacy databases weren’t designed for elastic scale, always-on availability, or globally distributed knowledge. And whereas many vector databases promise AI-friendly retrieval, they usually introduce tradeoffs in efficiency, consistency, and operational complexity. Distributed SQL is altering that.
By combining the transactional integrity of relational programs with the size and resilience of contemporary cloud infrastructure, distributed SQL gives a unified basis for AI and operational workloads alike.
On this session, you’ll study:
- What makes distributed SQL totally different, and why it’s uniquely geared up to help each transactional and AI workloads
- How combining vector and structured knowledge in a single distributed system reduces architectural complexity and boosts efficiency
- Why pgvector help in CockroachDB allows quick, versatile AI retrieval in a Postgres-compatible interface
- How CockroachDB solves distributed vector indexing whereas preserving scale, latency, and resilience
Whether or not you’re modernizing legacy programs or constructing cloud-native functions, this unique dinner will present actionable insights to future-proof your database technique
