Ask HN: How far can we push the browser for large-scale data parsing?

1 points by platypii ↗ HN
How far can we push the browser as a data engine — not just for visualizations, but for curating and querying large datasets? Do we need traditional backend architectures?

I wanted to see what happens when we treat the browser like part of the data stack, using pure JavaScript to load, slice, and explore datasets interactively. That experiment led to a small set of open-source tools — Hyparquet and HighTable. They’re designed to test the limits of browser-native data processing to see where the browser stops being a thin client and starts acting like a real data engine.

Curious what others think about the future of browser-first data tools:

- Where do you see the practical limits for client-side data processing? - What would make browser-based architectures a viable alternative to traditional data stacks?

1 comment

[ 3.1 ms ] story [ 10.3 ms ] thread
Interesting experiment. How does pushing more of the data workflow into the browser affect performance?