ParadeDB Search Performance Improvements | Hacker News Reader

ParadeDB Search Performance Improvements

paradedb.com

ParadeDB'er here: We are really hoping this can turn into a back and forth, making both of our products better.

If you modify it for use in a commercial backend (not a hosted db service), does the AGPL-3.0 license mean you have to share the source of project it is used in or only of the forked repo? On a related note, have you changed your stance on accepting issues and pull requests like some orgs?

We have many community contributors (150 and counting) who submit PRs and many users who open issues. We love them!

We're well aware that our external contributors use AI (we do too!), and we fiercely guard our product against AI slop. We ask that external contributors understand the changes they are making, and we frequently close PRs unmerged if they look like slop.

As for the AGPL question, our primary goal with this license is to protect ourselves from hyperscalers and avoid fragmenting the community. You can read more about it here: https://news.ycombinator.com/item?id=41227172

Love to see this. Am a huge paradedb user (we running over 100m records in prod, index is 4tb or so) and I just loved this read.

That’s huge! how large are records on average? What kind of throughout do you get and on what hardware?

ParadeDB kicks the TIN can should be the title.

Definitely looking at using them, you do wonder if such narrow focus is defensible as a business? Probably not.

ParadeDB developer here. BM25 FTS is becoming available on more cloud platforms, but ParadeDB is much more than that now. We'll have blog posts over the next few months detailing our work on aggregates, JOINs, filters, etc.

Massive respect for ParadeDB for seeing a benchmark where they were 8x slower, taking it as an engineering challenge instead of making excuses, profiling the hell out of it, fixing the actual bottlenecks, and publishing everything they learned along the way.

This is what healthy engineering competition looks like.

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