Julia Computing raises $24M Series A

Re:Julia Computing raises $24M Series A by nojito on Monday July 19, 2021 @01:59PM (#27885474)

40% slower in groupbys and 4x slower in joins isn’t convincing.

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Re:Julia Computing raises $24M Series A by mbauman on Monday July 19, 2021 @02:17PM (#27885664)

Oh I agree. What's convincing to me is the momentum. The DataFrames.jl team only started focusing on performance three months ago after hitting v1.0[1] and were able to rapidly become competitive with groupbys; the performance of join is next[2]. Compare the live view with the state when grandparent's blog post was written/updated (March of this year).

I expect it to continue to improve; note that it's starting to be the fastest implementation on some of the groupby benchmarks.

1. https://discourse.julialang.org/t/release-announcements-for-...

2. https://discourse.julialang.org/t/the-state-of-dataframes-jl...

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Re:Julia Computing raises $24M Series A by freemint on Monday July 19, 2021 @02:27PM (#27885779)

This seems quiet cherry picked as there are 3 different dataset sizes.

However yes, it does not beat all other packages tested in performance.

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Re:Julia Computing raises $24M Series A by nojito on Monday July 19, 2021 @03:58PM (#27886666)

Not really cherry picked. Data.table is designed for large data sets with many groups + complex joins.

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