Database Mismatch: The Real Culprit Behind Sluggish AI Assistants
That frustrating pause when your AI assistant chokes on a simple question? It's not the model—it's your creaky data platform buckling under agent workloads.
⚡ Key Takeaways
- AI agents generate query bursts that overwhelm traditional data warehouses, causing latency.
- Postgres + columnar OLAP like ClickHouse is emerging as the default stack for agentic AI.
- Observability and analytics converge on unified, high-concurrency platforms to support AI workflows.
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Originally reported by The NewStack
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