Hey
Rretret,
As AI-driven workloads become the norm many teams face a critical architecture decision:
Do you bolt on another vector database? Or step back and rethink the foundation?
This new report, The New Blueprint for AI-Ready Data: Vector Search Meets Distributed SQL, explores a smarter approach: Unifying AI-native performance with transactional consistency on a single platform.
What you’ll learn:
- Why separating vector data from transactional systems creates hidden complexity
- How to unify vector search and OLTP on one platform to reduce complexity and boost data accuracy
- How distributed SQL is evolving to support AI apps — without sacrificing resilience, performance, or simplicity
- What unified, real-world architectures look like in retail, banking, and image search
Whether you’re exploring AI-powered apps or modernizing your stack, this guide offers a blueprint for building what’s next without sacrificing resilience, performance, or control.
