What we have learned over time is that the machine user is outpacing the human user in consumption of analytics data. 

And that is very interesting because the ML features, the feedback loops to the production services, or the AI agentic workflows are outpacing the analytics user. 

So when you do that, you cannot adopt a monolithic environment which is holding you back and not letting you enable new use cases on top of it. 

So open architecture, which is compute agnostic, which is storage agnostics, helps us create an architecture which is easy to scale and consume across.