You say, “one cannot argue performance of a data warehouse” but that’s precisely the issue with a DW. DW requires a lot of work to move data from the way that domains model their data on the service layer to how data is modeled in a central DW. You have to wait for data to become live to even begin running analysis on it. Setting up and worst of all maintaining pipelines is an expensive undertaking in both time and money.

It’s not to say the DW is bad and never the solution. The problem is making it the only solution and not providing domains the flexibility to model data the way they need it. You say it’s more complex to manage but that’s the idea behind data mesh, you don’t manage that part, the team with their domain knowledge and data solution does. They can make it as simple or complex as they want internally but if they follow the standards to play in your data mesh who cares? Not your problem. For example say a domain needs realtime data analytics and use something like Druid to store their data. That’s fine. If they want to play in the data mesh you’ve provided, they just need to follow the rules in their data model, but they don’t need to use a cloud DW to do that.

You can’t argue that avoiding the copying of terabytes of data a day from a domain to a DW is more performant than adhoc analysis (MB to GB) of that data. Why move or copy a dataset when you don’t need to? Why force domains to use any solution that’s not actually solving their domain problem?