SQL Chat
Open-source, chat-based SQL client for querying databases in plain English
- Category
- Coding & Development
- Pricing
- Free and open source (self-host or one-click Vercel deploy, bring your own OpenAI API key); the hosted sqlchat.ai product has been sunset and now redirects to Bytebase's paid database governance platform, which includes a similar AI SQL Assistant.
- Best for
- SQL Chat is really only relevant today to developers who specifically want to self-host the original open-source, chat-based SQL client for a MySQL or PostgreSQL side project, or researchers studying early natural-language-to-SQL interfaces.
- Official site
- sqlchat.ai
- Last updated
- August 2026
SQL Chat launched in March 2023 as a chat-based SQL client and editor, built by the team behind Bytebase, a database DevOps and governance platform. Rather than the traditional GUI-driven SQL client model (think DataGrip or DBeaver), SQL Chat let users type questions or requests in plain English and have them translated into SQL queries against a connected MySQL, PostgreSQL, or SQL Server database, with the assistant able to query, insert, update, and delete data through conversation. The product was explicitly positioned by its creators as an experiment in what they called 'Developer Tools 2.0' -- rebuilding classic developer tooling around a chat-first interface enabled by generative AI, rather than decades-old GUI paradigms. It was released as 100% open source software (React + Next.js), deployable with one click to Vercel or fully self-hosted, and was designed with a privacy-first approach: database connection details stayed in the user's browser, and only the database schema (never actual row data) was sent to the OpenAI API to generate queries.
As of mid-2026, the standalone sqlchat.ai product has been discontinued; visiting the site now redirects to Bytebase's main marketing site, and Bytebase's own list of recommended text-to-SQL tools no longer includes SQL Chat. This is consistent with Bytebase's broader product direction: rather than maintaining SQL Chat as a separate lightweight tool, the company has folded natural-language querying into Bytebase's flagship SQL Editor and 'AI Assistant' features as part of its paid database change-management, access-control, and compliance platform. The open-source SQL Chat GitHub repository remains publicly available for anyone who wants to self-host the original tool or fork it, but it should be considered an unmaintained legacy project rather than an actively supported product. Prospective users evaluating SQL Chat for a directory listing or new project should be aware they will likely be redirected toward Bytebase's commercial offering.
SQL Chat is really only relevant today to developers who specifically want to self-host the original open-source, chat-based SQL client for a MySQL or PostgreSQL side project, or researchers studying early natural-language-to-SQL interfaces. Anyone looking for an actively maintained, supported product should instead evaluate Bytebase directly, since that is where the SQL Chat team's ongoing AI SQL work now lives.
Key features
Natural language querying
Type plain-English requests and SQL Chat translates them into SQL SELECT, INSERT, UPDATE, and DELETE statements against the connected database.
Multi-database support
Originally supported MySQL and PostgreSQL, with SQL Server support added later in the project's life.
Privacy-first architecture
Database credentials are stored only in the browser; only the schema, never actual table data, is transmitted to the OpenAI API.
Open-source, self-hostable
Fully open-source React/Next.js codebase that can be deployed to Vercel in one click or self-hosted on any infrastructure.
No-signup demo
The original hosted product let visitors try the chat bot against a sample database without creating an account.
SQL editor conveniences
Included syntax highlighting, autocomplete, and intelligent error correction alongside the chat interface.
Pricing breakdown
Open Source (self-hosted)
- Full source code on GitHub
- Deploy to Vercel or self-host
- Bring your own OpenAI API key
Hosted sqlchat.ai
- Product sunset as of 2026
- Domain now redirects to Bytebase.com
Pros and cons
Pros
- As an open-source project, developers can audit, self-host, and modify SQL Chat freely with no subscription cost, which is unusual among AI SQL tools.
- The design choice to keep row-level data out of the OpenAI API call reflects a genuinely privacy-conscious architecture compared to many competing AI database tools.
- The frictionless, no-signup demo was cited by early reviewers (including on Product Hunt) as a standout for letting people evaluate natural-language SQL instantly.
- It served as an influential early proof of concept for 'chat-based developer tools,' inspiring similar natural-language database interfaces across the industry.
Cons
- The hosted product has been sunset, meaning the URL now redirects users to Bytebase's marketing site rather than a working chat tool, which is confusing for anyone discovering it today.
- There is no indication of active maintenance or new feature development on the open-source repository going forward.
- Database engine coverage was always narrower than mature GUI clients like DBeaver or DataGrip, limited to MySQL, PostgreSQL, and SQL Server.
- Self-hosting requires technical setup (Vercel deploy or Docker) plus managing your own OpenAI API key and costs.
- No enterprise features like access control, audit logging, or approval workflows -- those now live exclusively in Bytebase's paid platform.
Alternatives to SQL Chat
Frequently asked questions
Is SQL Chat still available?
The hosted sqlchat.ai product has been discontinued and now redirects to Bytebase; the open-source codebase remains on GitHub for self-hosting but is no longer actively maintained as a standalone product.
What databases did SQL Chat support?
MySQL, PostgreSQL, and later SQL Server.
Was SQL Chat free?
Yes, it was 100% free and open source; users could self-host it or use the hosted demo, bringing their own OpenAI API key for full functionality.
Who built SQL Chat?
It was built and open-sourced by the team behind Bytebase, a database DevOps and governance platform, and launched in March 2023.
Does my table data get sent to OpenAI?
In the original design, only the database schema was sent to the OpenAI API to generate SQL; actual row/table data was not transmitted.
What should I use instead of SQL Chat now?
Bytebase's SQL Editor and AI Assistant, which are actively maintained and offer similar natural-language querying alongside broader database governance features.
Ready to try SQL Chat?
Head to the official site to explore pricing and start a free trial where available.
Visit SQL Chat →