The reliance on hyperscalers like AWS, Google Cloud, and Microsoft Azure is waning as enterprises seek greater control, cost-effectiveness, and innovation freedom. Organizations recognize that hyperscalers no longer provide the most economical solutions compared to on-premises or specialized infrastructure, particularly in the AI era. This shift toward diverse and heterogeneous data platforms is transforming enterprise IT, as companies break free from singular dependencies to leverage local-first strategies, ultimately pivoting towards more flexibility and cost savings vital for operational success in increasingly competitive landscapes.
The dominance of hyperscalers AWS, Google Cloud, and Microsoft Azure has shaped the cloud landscape for more than a decade, but enterprises need more control over their data.
The reality of cloud economics is hitting hard, with enterprises realizing that hyperscalers usually can't offer the same savings or margin control as on-premises infrastructure.
Organizations are diversifying their data platforms to regain control, reduce costs and power AI innovation with local-first, repatriated data strategies.
This shift towards heterogeneous platforms represents one of the most significant trends in enterprise IT in the past five years.
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