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DoomBench – Can Your Data Stack Run Doom?

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DoomBench – Can Your Data Stack Run Doom?
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The article discusses the DOOMBench project, which tests various data stack architectures by running a multiplayer DOOM server entirely in SQL. It highlights the challenges of balancing analytical performance and transaction processing in database systems. The project builds on a previous initiative called DOOMQL, showcasing how databases can handle game mechanics and player interactions in real-time.

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Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.

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Cedardb
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Original publisherCedardb
Canonical URLhttps://cedardb.com/blog/doombench/
Publication timeTue, 26 May 2026 16:53:26 +0000
Retrieval time2026-05-26T17:07:50.079Z
Last seen2026-05-26T17:07:50.079Z
Headline sourcePublisher (no WeSearch rewrite)
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Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
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Clustermt7WUc7q4q9m
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Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Can Your Data Stack Run DOOM?TL;DRWe ran a multiplayer DOOM server in pure SQL on different data stack architectures, recorded nice videos, and measured what breaks first.Click here to go directly to the benchmark page (with videos).Here is a video of CedarDB being “DOOMbench”-ed: Your browser does not support the video tag.Why DOOM?Pedantic note: The original DOOMQL uses raycasting, not BSP trees, making it technically more Wolfenstein than DOOM as some people pointed out.Last year, we published DOOMQL: a multiplayer DOOM-like game running entirely inside SQL, using recursive CTEs for raycasting and a real client-server architecture where players connect directly to the database. We were very excited when it hit the front page of Hacker News.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Cedardb.

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