sqlchat
SQL Chat is a chat-based SQL client built with Next.js that uses natural language (powered by OpenAI) to let users query, insert, update, and delete data across MySQL, PostgreSQL, MSSQL, TiDB, OceanBase, and other databases. It can be deployed standalone or self-hosted via Docker, with optional database backend for multi-user accounts and quota management.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | sqlchat/sqlchat |
| Owner | sqlchat |
| Primary language | TypeScript |
| License | MIT — OSI-approved |
| Stars | 5.8k |
| Forks | 502 |
| Open issues | 24 |
| Latest release | Unknown |
| Last updated | 2026-04-21 |
| Source | https://github.com/sqlchat/sqlchat |
What sqlchat is
TypeScript/Next.js application that acts as a chat-driven SQL IDE, translating natural language to SQL via OpenAI API (with optional self-hosted Ollama fallback). Supports direct database connections or a Postgres-backed multi-tenant mode; includes NextAuth for auth and Prisma ORM for data layer.
Get the sqlchat source
Clone the repository and explore it locally.
git clone https://github.com/sqlchat/sqlchat.gitcd sqlchat# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- OpenAI API key management: Decide whether to use organization's key, allow per-user keys, or route via self-hosted Ollama endpoint.
- Database connectivity: Plan for firewall rules, SSH tunneling, or self-hosting if target database is not internet-accessible; sqlchat.ai requires IP whitelist bypass.
- Environment configuration: Choose between no-database (single-user) or with-database (multi-user, requires Postgres). Set NEXTAUTH_SECRET and OPENAI_API_KEY appropriately.
- LLM output validation: Implement user confirmation or dry-run SQL preview before execution to mitigate risk of unintended data modifications.
- Quota and cost management: If using OpenAI, monitor API spend; self-host Ollama if cost is a concern but accept latency and accuracy trade-offs.
When to avoid it — and what to weigh
- Strict data residency or no external API calls — Default deployment sends queries to OpenAI API. Self-hosting Ollama mitigates this, but self-hosted model setup adds operational overhead.
- Mission-critical production transactions — LLM-generated SQL may contain errors or unintended logic. No built-in safeguards (e.g., mandatory review, dry-run mode) are evident; manual validation is required.
- Database engines not in the supported list — Currently supports MySQL, PostgreSQL, MSSQL, TiDB, OceanBase, Clickhouse, CockroachDB, MongoDB, Oracle, Redis, Snowflake, SQLite, SQL Server. Unsupported engines require code contribution.
- High-security or compliance-heavy environments — IP whitelisting on sqlchat.ai is not feasible (Vercel uses dynamic IPs). Self-hosting is necessary, and data handling via OpenAI API may violate org policies.
License & commercial use
MIT License. Permissive open-source license permitting commercial use, modification, and distribution without royalty, provided the original license notice is retained.
MIT License explicitly permits commercial use, including building commercial products or services. Verify that your use case does not create secondary dependency concerns (e.g., OpenAI API ToS compliance). No proprietary restrictions on deployment or modification.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
No security audit or disclosure policy documented. Key risks: LLM-generated SQL may be malicious or incorrect; no input sanitization guarantees stated. OpenAI API sends natural language and database schema to third party. Self-hosting avoids OpenAI but requires securing Ollama endpoint. No rate-limiting or CSRF protection details provided. Deploy behind VPN or with strong auth if handling sensitive data.
Alternatives to consider
DBeaver Web
Traditional SQL IDE with native database support; no LLM dependency but steeper UI learning curve.
Datagrip (JetBrains)
Full-featured SQL IDE with IDE integration; requires license; no chat-based interface.
Metabase
BI and query tool with visual query builder and sharing; does not use LLM; different use-case focus (dashboards vs. ad-hoc chat).
Build on sqlchat with DEV.co software developers
SQL Chat is MIT-licensed and production-ready. Whether you're adding chat-based querying to your product or building a data platform, our team can guide your technical implementation and deployment strategy.
Talk to DEV.coRelated on DEV.co
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sqlchat FAQ
Can I use SQL Chat without an OpenAI API key?
Is my data sent to OpenAI?
Which databases are supported?
How do I self-host SQL Chat for multiple users?
Work with a software development agency
Need help beyond evaluating sqlchat? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source databases integrations — and maintain them long-term.
Ready to Build AI-Driven Database Tools?
SQL Chat is MIT-licensed and production-ready. Whether you're adding chat-based querying to your product or building a data platform, our team can guide your technical implementation and deployment strategy.