Beta for Doltgres, the Postgres Version of Dolt

Hacker News

You asked for it, we built it: the world's first version-controlled SQL database, Dolt, now has a Postgres-compatible version, Doltgres. We announced the limited alpha here on Hacker News 18 months ago, and today we're excited to announce the Beta release. Doltgres is free and open source, and you can download it from our GitHub repository here: https://github.com/dolthub/doltgresql/ More details on the Beta release in our announcement blog post: https://www.dolthub.com/blog/2025-04-16-doltgres-goes-beta/ If you've been waiting for the Postgres version of Dolt, wait no more. Please give it a try by importing your Postgres database using pg_dump and psql, then playing around with the version control features. Let us know via GitHub issues if you encounter any problems. This release represents 18 months of engineering and innovation. We're excited to hear what you think.

Visit product View on Hacker NewsApr 16, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, hacker news · Missing: https docs, just released, exist

91%91% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, open · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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