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Amazon DocumentDB Serverless database looks to accelerate agentic AI, cut costs
AWS continues to expand its serverless database offerings, aiming to help improve cost and lower operational complexity.
Unlike traditional web applications, which typically have relatively steady traffic patterns, agents can trigger cascading database interactions that administrators cannot predict. For enterprises looking to lead the way in AI, this news means document databases in AWS can now scale seamlessly with unpredictable agent workloads while reducing both operational complexity and infrastructure costs. Waiting to adopt serverless document databases may put organizations at a competitive disadvantage when they eventually deploy AI agents and other dynamic workloads that benefit from automatic scaling.
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