
The relentless proliferation of autonomous AI agents is silently stress-testing enterprise data platforms to their absolute breaking point, revealing deep architectural flaws that were once merely theoretical concerns. As Agentic Systems emerge, representing a significant advancement in Artificial Intelligence and data processing, they bring with them a workload profile so demanding that it challenges decades of architectural assumptions. This review










