Alternatives
Products that do what VillageSQL Server for MySQL does
VillageSQL = MySQL + Extensions 🚀 🎉
- 1VA
We built VillageSQL because we love MySQL, but we’ve watched the ecosystem stagnate while PostgreSQL flourished with extensions like pgvector and pg_textsearch. We wanted to give MySQL that same extensibility so teams don’t have to migrate databases just to keep building nowadays. VillageSQL is an open-source, tracking fork of MySQL that is a drop-in replacement and adds a true extension framework. How it works: +It’s a drop-in replacement +We added an interface to load external shared libraries (.so files) as extensions. +You define custom data types and functions (with indexes coming soon)…
Feb 2026 · villagesql.com
- 2VM
INSTALL EXTENSION vsql-complex; CREATE TABLE t (val COMPLEX); Look, MySQL is awesome [flamewar incoming?]. But the ecosystem has stagnated. Why? No permissionless innovation. Postgres has flourished because people can change the core of the database (look at pgvector and pg_textsearch), without having to get their changes accepted upstream. (This, btw, is what powered GitHub's early success: you can fork a repo and make changes without needing the owners' approval) VillageSQL is a tracking fork of MySQL (open source, ofc) that adds an extension framework: * Drop-in replacement * Add custom…
Feb 2026 · github.com
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Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases) DeepSQL started as an internal tool to stop our own databases from becoming the bottleneck they were becoming (13,000+ hotels in production). It worked well enough that we're releasing it. DeepSQL is an AI agent that operates a database the way a senior DBA and Data Engineer would 1. Fixes slow queries (we cutdown DB spend by 4x) 2. Fixes DB bloat (blocks unnecessary schema changes, in vibecoded setup) 2. BI dashboards(we removed spend on tableau, retool and appsmith) 3.…
Jul 2026 · deepsql.ai
- 6P0
Hi everyone — thanks for your interest in PRQL — let us know any questions or feedback! We're excited to be releasing 0.2[1], the first version of PRQL you can use in your own projects. It wouldn't exist without the feedback we got from HackerNews when we originally posted the proposal. [1]: https://github.com/prql/prql/releases/tag/0.2.0
2022 · github.com
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2018 · github.com
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Hi everyone. Over the past year, I've built a MySQL Proxy that supports Online DDL. I'm not sure if there are other proxies out there with this feature, but I found it fascinating and thought it was worth sharing. Of course, this proxy also supports many other features, such as Read Write Split, Read After Write Consistency, Load Balancing, and Transparent Failover. I didn't build this database from the bottom up; instead, I forked Vitess and put a lot of effort into overhauling its architecture and SQL Engine Layer. Moving forward, I hope to introduce more developer-friendly features into…
2023 · github.com
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2017 · github.com
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- 19SD
SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com
- 20IB
2016 · upscaledb.com
- 21MA
I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
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2019 · 8base.com
- 23QY
Hi folks, My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English. Vizly is built on Llama 2, llama.cpp, and runs fully on-prem (edit: meaning everything is local and your data never leaves your own computer). We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook. We tried to make Vizly very easy to share as well. Every Vizly instance…
2023 · vizly.fyi
- 24SA
Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…
Jan 2026 · playground.shaped.ai
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