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Editing a screenshot to push a narrative is pretty easy. I'm no longer with MongoDB, although still a big fan of the product, but I'm more curious as to how you
by adoxyz 4y ago
Editing a screenshot to push a narrative is pretty easy. I'm no longer with MongoDB, although still a big fan of the product, but I'm more curious as to how you could rack up a $2,500 bill just trying the product out, especially the serverless offering, coupled that with the guy being a "twitter investor", so that kicked off my BS detector.
MongoDB Atlas runs on the big 3 clouds, and of course you're going to pay more for a fully managed service, as opposed to hosting it yourself directly on the big 3, but racking up $2,500 in serverless compute charges in 24 hours seems very very hard to do, and especially by accident.
- tomgs 4y agoSo I read your second sentence first for some reason, which seemed plausible and I wanted to respond nicely. And then I read your first sentence - why is it always the assumption that people are going the hyperbole route? This is a well-upvoted link, with enough comments to merit a good discussion, and what appears to be a nicely-thought out post after the link. Also, I've been following Snir for quite a while - dude wrote a massive Data Engineering roadmap which is heavily used by people learning how to ETL and has a very interesting investing blog. He's an engineer turned investor, and looks at the market from this perspective. The derogatory quotes are unnecessary.
- derefr 4y ago> racking up $2,500 in serverless compute charges in 24 hours seems very very hard to do TBH I know how to spend that much and more with a single query (and ~30 minutes of compute time) in BigQuery. Serverless BI analytics workloads over large public datasets can do amazing things... and are also exactly the sorts of things a naive user would use to test + benchmark the capabilities of serverless data-warehousing systems.