:) That is a good question. Why spend eng cycles to submit results to the TPC council - why not just focus on customers?
I believe the co-founders have addressed this in the blog.
> Our goal was to dispel the myth that Data Lakehouse cannot have best-in-class price and performance. Rather than making our own benchmarks, we sought the truth and participated in the official TPC benchmark.
I'm sure anybody seriously looking at evaluating data platforms would want to look at things holistically. There are different dimensions like open ecosystem, support for machine learning, performance etc. And different teams evaluating these platforms would stack rank them in different orders.
These blogs, I believe, show that Databricks is a viable choice for customers when performance is a top priority (along with other dimensions). That IMO is customer obsession.
I believe the co-founders have addressed this in the blog.
> Our goal was to dispel the myth that Data Lakehouse cannot have best-in-class price and performance. Rather than making our own benchmarks, we sought the truth and participated in the official TPC benchmark.
I'm sure anybody seriously looking at evaluating data platforms would want to look at things holistically. There are different dimensions like open ecosystem, support for machine learning, performance etc. And different teams evaluating these platforms would stack rank them in different orders.
These blogs, I believe, show that Databricks is a viable choice for customers when performance is a top priority (along with other dimensions). That IMO is customer obsession.