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Agentic AI workloads generate 10 to 20 times the data-layer traffic of traditional apps, breaking scale-up databases. Couchbase CTO Gopi Duddi says distributed, scale-out architectures handle concurrent agent operations better, while scale-up systems hit walls. Multi-model systems avoid splitting data across specialized stores.
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