Is The Modern Data Stack Out Over Its Skis?
theCUBEresearch, Saturday, September 7th, 2024
Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack (MDS) is outpacing the needs of many traditional analytic workloads.
Most analytics workloads today are performed on small data sets and generally can run on a single node, somewhat neutralizing the value of distributed, highly scalable data platforms. As such, we believe today's modern stack, which started out serving dashboards, must evolve into an intelligent application platform that harmonizes complex data estates and supports a multi-agent application system. Data platforms are sticky but we believe market forces are conspiring to create tension on existing business models.