← Back to context

Comment by nylonstrung

4 hours ago

I'm also struggling to understand what the novel tech here actually is

What could I do with this that I couldn't achieve with iceberg-rs + DataFusion + parquet/vortex

They repeatedly talk about "80% size reduction with compression. Isn't that essentially just the default parquet compression ratio?

What exactly is unique here

I’m curious too. We need to see 1b+ numbers or else it just seems like we’re leveraging compression here, which is great but it’s hard to understand why it’s novel and why it’s the best solution no contest.