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it's simple: Many companies are on Azure for some reason. (mainly because of preexisting microsoft contracts, and because its so tightly coupled with office that if you want office at the enterprise level, you always need a little of Azure)

Now, those companies need data infrastructure. Azure ML studio is horrible. Azure data factory is somewhat okay'ish, but far from ideal. Azure Synapse is a steaming pile of junk that doesn't seem to improve. Azure data lake is kinda functional as a data lake, but lacks any decent ways to analyze that data.

Spinning up jupyter notebooks is not something most IT teams understand, they want a managed service.

As far as I know, Databricks is then the only solution offered by Microsoft. That's why they get such a high adoption rate. Not because of merit, but because they are the only somewhat acceptable solution on Azure. Good enough to just work. Not good enough to gain a competitive data advantage.

I hate what the world has come to, but sadly IT procurement has too much influence and CTO's dont understand the modern world enough. They just care about the big Microsoft contract, because it makes them look good (look at all these savings!)

If Microsoft would showcase Teradata or Dataiku or a bit of Snowflake, all of those run through the azure marketplace anyway,... we would be better off. But consultants and premium partners naturally only care about Databricks



Well said. It is a sad state of affairs. For those of us who can, push back against IT procurement and show leadership the value (and likely cost reduction) when using tools outside the norm. And yes, the Azure Marketplace has several great solutions for data processing.




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