Distributed SQL + Vectors: A Match Made in Heaven

In today’s AI-driven world, enterprises need more than just fast queries or scalable storage, they need a unified data foundation that can power both real-time transactional workloads and vector-based AI applications. Traditionally, these two worlds have lived apart: transactional databases handled the operational data, while vector stores powered AI search and semantic similarity. But that separation comes at a cost: data fragmentation, slow pipelines, and operational complexity. What if you could have both in one system?

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