[YouWhy]

I often analyze tools as reduction from the space of problems × resources to the space of outcomes.

Let's consider Snowflake in this paradigm

- Problems: analytics on data that is not laid out in a way that's directly accessible for analysts.

- Resources: SQL analysts, few or no competent data engineers, spare cash

- Outcomes: run analytics at an industrial scale without requiring competent engineers or DevOps.

Since Snowflake's optimal client gets very easily locked in, it follows up that saving said client's money is not something even the client would care about