Tomorrow’s Tech, Today: Innovation That Moves Us Forward
- Distributed SQL combines relational transactional integrity with cloud scale resilience, supporting both operational and AI workloads.
- Co-locating vector and structured data in a single distributed system reduces architectural complexity and boosts retrieval performance.
- pgvector support in CockroachDB provides a Postgres-compatible interface for fast, flexible AI retrieval.
- CockroachDB implements distributed vector indexing while preserving scale, low latency, and operational resilience.
- Distributed SQL future-proofs database strategy for building cloud native, always-on AI applications and unified operational plus analytical workloads.
July 17, 2025 at 10:00am PDT
45 minutes
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
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