It's 2026, just use Planetscale Postgres

Do tell about all your greenfield yet large scale persistence needs where this discussion even applies

Meh, it's 2026! Unless you're Google, you should probably just pipe all your data to /dev/null (way faster than postgres!) and then have a LLM infer the results of any get requests

Can I just say, I'm getting really sick of these LLM-generated posts clogging up this site?

GPTZero gives this a 95% chance of being entirely AI-generated. (5% human-AI mix, and 0% completely original.)

But I could tell you that just by using my eyes, the tells are so obvious. "The myth / The reality, etc."

If I wanted to know what ChatGPT had to say about something, I would ask ChatGPT. That's not what I come here for, and I think the same applies to most others.

Here's an idea for all you entrepreneur types: devise a privacy-preserving, local-running browser extension for scanning all content that a user encounters in their browser - and changing the browser extension icon to warn of an AI generated article or social media post or whatever. So that I do not have to waste a further second interacting with it. I would genuinely pay a hefty subscription fee for such a service at this point, provided it worked well.

postgres is great, but its not great at sharding tables.

I mean, it's a pain at times to keep elastic in sync with the main db, but saying elastic is just an algorithm for text search feels odd.

This is just AI slop. The best tell is how much AI loves tables. Look at "The Hidden Costs Add Up", where it literally just repeats "1" in the second column and "7" in the third column. No human would ever write a table like that.

"juSt use PoStGreS" is spoken like a true C-level with no experience on the ground with postgres itself or its spin offs.

yes pg is awesome and it’s my go to for relational databases. But the reason why mongo or influx db exists is because they excel in those areas.

I would use pg for timeseries for small use cases, testing. But scaling pg for production time series workloads is not worth it. You end up fighting the technology to get it to work just because some lame person wanted to simplify ops

I have problem pulled out postgres 10 or more times for various projects at work. Each time I had to fight for it, each time I won, it did absolute everything I needed it to do and did it well.

This reads like AI generated slop, though the point about simplicity is valid.