The New Blueprint for AI-Ready Data: Vector Search Meets Distributed SQL

Intellyx Whitepaper for Cockroach DB by Jason English

Discover how distributed SQL is evolving to power the next generation of AI applications — without sacrificing resilience, performance, or simplicity.

CockroachDB-IntellyxWP-coverJune2025Approaching a fork in the road for critical data due to AI? Maybe it’s a merge.

In the past, when a general-purpose relational SQL database wasn’t the right tool for the job, teams turned to specialized alternatives. If you needed to ingest and analyze logs for observability, you’d choose a time-series database. Building a catalog? You might opt for a NoSQL object store. And so on.

As cloud infrastructure (and hyperscale platforms) took off, these distinctions began to blur. New cloud databases based on Postgres-like architectures appeared on the horizon. Distributed SQL systems such as CockroachDB emerged to preserve transactional integrity while adding resilience and elastic scale beyond what a single-node Postgres could handle. They were performance-tuned for cloud native applications that need to run anywhere in the world.

Now AI-driven applications are adding a new level of complexity and urgency to the data landscape. Users and digital agents alike demand speed, but we can’t afford to sacrifice resilience or scalability to get it. We also don’t want to revert to less resilient, less scalable databases just to support AI.

Instead, we can keep the benefits of distributed SQL and add high-performance vector capabilities. This presents a chance to interact with data in a completely new way: combining the strengths of distributed SQL with vector search to power high-performance AI applications (including generative AI, agentic AI, and AI Ops)…

What You’ll Learn

This third party report from analyst firm Intellyx explores:

  • Why AI workloads are breaking conventional data architecture
  • 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

Read/download the entire whitepaper from the Cockroach Labs site here: https://www.cockroachlabs.com/guides/vector-search-meets-distributed-sql/

 

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Principal Analyst & CMO, Intellyx. Twitter: @bluefug