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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rumble: Data Independence for Large Messy Data Sets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1910.11582/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1910.11582/feed.xml" rel="self" type="application/rss+xml" /><item><title>Rumble: Data Independence for Large Messy Data Sets — mentioned by ghislainfourny</title><link>https://news.ycombinator.com/item?id=29164062</link><guid isPermaLink="false">urn:hackerpapers:mention:1910.11582:29164062</guid><pubDate>Tue, 09 Nov 2021 16:49:54 GMT</pubDate><description>&lt;p&gt;Thank you for your comment. The motivation for JSONiq and RumbleDB is discussed in this recent paper, the core argument is data independence: https://arxiv.org/abs/1910.11582v3 JSONiq is a functional language and thus makes it easy to scale to collections that have billions of objects. A notable difference with JavaScript is that JSONiq has the FLWOR expression, which is similar to, but more generic than, a SQL statement.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1910.11582/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
