alt Hacker NewsThing is SQLite scales better than both those network databases [1] if you're prepared to stick with one big machine (+ a standby).
This is even more obvious when you start doing transactions processing an row locks across the network limit you to 1-3k TPS that you cannot scale out of (Pareto distribution is merciless).
[1] - https://andersmurphy.com/2025/12/02/100000-tps-over-a-billio...
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Wow, what an apples and aliens comparison. You add a bunch of transaction delays to your postgresql case because you can access a database over a network, but you use transaction batching for sqlite? Maybe just compare a local postgresql with/without batching to a local sqlite with/without batching to be much less misleading.
You know you can host a database like Postgres on the same machine, right?
Seeing as I can get about 200K TPS from a networked DB in my environment, I have to question your setup here.
In the real world we are looking at things like RPO (recovery point objective) and RTO (recovery time objective). You need to consider HA and DR. It’s in these areas where SQLite does not scale.
That’s why I struggle to see the fit for SQLite in any sort of multi-user server environment. If you need the data to be durable, then the bigger DB’s have the tools. If you don’t need the data to be durable, just keep it in memory. I’m sure there are niches I am missing.