Breaks down how big data companies generate revenue, rising CAC pressures, AI-driven efficiency gains, and why data context not storage or compute is emerging as the key differentiator.
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This transcript looks at how the big data ecosystem is changing. It shows how SaaS subscription and consumption models make up most of the revenue andrevenue, and how longer enterprise sales cycles are making it more expensive to get new customers. It explores heavy dependence on hyperscalers, growing regulatory pressures around data sovereignty, and the impact of AI in automating unstructured data processing and improving engineering efficiency. The discussion highlights that understanding data context, governance, and the reliability of data pipelines provides a real competitive advantage, even though storage and compute have become commoditized.
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