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Dolt is Git for data

(www.dolthub.com)
358 points timsehn | 1 comments | 30 Mar 20 20:24 UTC | HN request time: 0.235s | source
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peteforde ◴[31 Mar 20 03:02 UTC] No.22734564[source]▶
Only 39 days since the last "GitHub for data" was announced: https://news.ycombinator.com/item?id=22375774

I'll say what I said in February: I started a company with the same premise 9 years ago, during the prime "big data" hype cycle. We burned through a lot of investor money only to realize that there was not a market opportunity to capture. That is, many people thought it was cool - we even did co-sponsored data contests with The Economist - but at the end of the day, we couldn't find anyone with an urgent problem that they were willing to pay to solve.

I wish these folks luck! Perhaps things have changed; we were part of a flock of 5 or 10 similar projects and I'm pretty sure the only one still around today is Kaggle.

https://www.youtube.com/watch?v=EWMjQhhxhQ4

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1. roystonvassey ◴[31 Mar 20 07:50 UTC] No.22735661[source]▶
In our group we use git for code repos and cloud for storage and actual compute. It works seamlessly and git APIs work fantastically with almost any service, IDE or whatever your tool of choice.

I suspect with the increasing cloud adaption, accessing data is getting easier by the day and I see no real need for a “git for data” tool. Plus, as a data scientist, it allows me to keep code and data separate, especially if I’m working with confidential data.