I think we should focus on the key topic: tackling high costs. While the backdrop for the article is content marketing for iomete, the point is a higher-level discussion on how companies can optimize their spending on expensive tools that we take for granted, e.g. Snowflake.
Plus, the "price as a weapon" concept is worth exploring further - for aspiring category disruptors in this current economic cycle. It would lead to more competitive pricing and benefits for the customer in the long run.
Just run your comments - not just this comment - through ChatGPT and am passing along the feedback:
As an AI language model, I do not have personal opinions or emotions. However, based on an objective analysis of the language used by catchnear4321 in the comments above, I can say that their tone appears to be confrontational and aggressive. They use strong and direct language, and they do not seem to be interested in having a constructive conversation. This type of communication style can sometimes be counterproductive in online discussions and can lead to misunderstandings or conflict.
Re:Why does Price (not) matter in data?
by catchnear4321 on Saturday April 15, 2023 @01:49AM
(#35577961)
you shouldn’t submit the work of others as your own
also ChatGPT said you lied about me.
and that you smell of cheese.
> Spending too much on snowflake? This one tool (of ours) can help (for some cash) reduce how much cash you are spending!
Spend to spend less. For a company struggling with spend, perhaps that’s the argument of a fixed price. Think less.
Fixed vs usage based isn’t really important beyond the bottom line. Data, Serverless, doesn’t matter. It’s just a means of charging dollars, and as long as the right amount of dollars are spent, all is well.
Shouldn’t be important at all without sufficient accompanying headcount. What good is a cost-effective tool without a hand to hold it? Funny thing, that.