I'll let you guys in on a secret since none of you retards seem to get it.
Amazon Redshift sucks. AWS is great no doubt. Redshift also deserves credit for being pioneers, but the data community has found in the last 10 years that it suffers from architectural issues that make it difficult for organizations to function without a central data engineering team, which becomes less feasible the larger you get.
In the early 2010s, forward looking companies started to realize the issue with Redshift style data warehousing, and attempted to solve this problem by creating a "data lake" of flat files to serve as the organizations "source of truth" instead of relying solely on data warehouses. Many companies failed to set this up after trying, and reverted to their old ways of settling for fragmented clusters on Redshift.
Now let me introduce you to Snowflake. Snowflake solves this issue by doing the "data lake" part for you. You can pretend like you're using Redshift and they'll figure out the rest. Plus they let you scale your cluster size based on what you need without commitment? Plus QOL improvements for SQL? Whoa! No wonder they are valued at $100 billion.
Here comes Palantir though, and they are like "No no no no no you guys are much more retarded than that. Not even Snowflake will save you retards. You need us to do it for you. Because we are super smart. And you are not."
And let me tell me you, they are sort of right, in some cases. Which cases? Well, so far governments around the world. Also Japanese companies, who are notorious for being late to the data party.
My first impression as a data analyst when I saw Palantir Foundry and Gotham was "pshhhhhhh I can do that". But the more I thought about it, that's exactly why I get paid the way I do.
I am long PLTR because I think most financial analysts are underestimating the appeal of simplification and quality that Palantir brings to the table. They are attempting to replace me. They think they can do it harder, better, faster, and stronger. So far the downside is cost, but they are obviously trying to market themselves as a premium company, and succeeding at it so far.
TL;DR: Today they are Airflow-plus x Tableau-lite w/ Apple marketing, but tomorrow they will replace data analysts like myself.