DBQuill
DBQuill is a free, open-source Windows desktop app for asking database questions in natural language, reviewing operations, and viewing charts.
What DBQuill is
DBQuill is a free, open-source Windows desktop app for asking database questions in natural language, reviewing operations, and viewing charts. It supports SQLite and read paths for MySQL 8.4 and PostgreSQL 17, and it can turn attached CSV or .xlsx files into a local SQLite database. Legacy .xls files are not supported. Writes require validation, a change preview, and explicit confirmation; remote DDL is blocked. Reads are limited to a single statement and bounded rows, while SQLite reads use physical read-only connections plus query_only. DBQuill accepts an OpenAI-compatible text-model endpoint without requiring a particular vendor. Credentials, model profiles, sessions, audit records, and uploads are stored locally outside the source tree. Audit records keep controlled metadata and hashes rather than raw prompts, SQL, credentials, or result rows. The release target is Windows 10 or 11 x64 with CPython 3.12 and Microsoft Edge WebView2 Runtime. Distribution is source-first, with no signed native installer. macOS, Linux, Windows on ARM, and other Python versions are not current release targets.
Good
- Supports SQLite, MySQL 8.4, and PostgreSQL 17 read paths.
- Writes require validation, preview, and confirmation.
- Database credentials and uploads are stored locally.
- Accepts OpenAI-compatible model endpoints from any vendor.
Watch out
- Windows 10 or 11 x64 is the release target.
- No signed native installer is available yet.
- Legacy .xls files are not supported.
- macOS, Linux, and Windows on ARM are not release targets.
Who it suits
It suits Windows x64 users working with SQLite, MySQL, or PostgreSQL databases and tabular files who want natural-language queries and controlled updates. It is not aimed at users on macOS, Linux, or Windows on ARM.
Verdict
DBQuill pairs natural-language database work with explicit write checks and local storage for credentials and uploads. Its source-first Windows target and supported database and file formats are key constraints to consider.
Plans and prices
From DBQuill's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| DBQuill | Free | Open-source · source-first Windows desktop app |
The facts
Each one read from DBQuill's own pages, with the date it was checked.
What it does
- Audit privacy
- Audit records retain controlled metadata and hashes rather than raw prompts, SQL, credentials, or result rows.checked 4 Oct 2026
- Database support
- It supports SQLite and provides read paths for MySQL 8.4 and PostgreSQL 17.checked 4 Oct 2026
- Distribution
- DBQuill is source-first and does not yet provide a signed native installer.checked 4 Oct 2026
- File imports
- Users can attach CSV or .xlsx files, which DBQuill converts into a local SQLite database; legacy .xls is not supported.checked 4 Oct 2026
- Intended users
- The project describes natural-language querying and controlled updates for people working with SQLite, MySQL, or PostgreSQL databases and tabular files.checked 4 Oct 2026
- Local data
- Database credentials, model profiles, sessions, audit records, and uploads are stored locally outside the source tree.checked 4 Oct 2026
- Model compatibility
- DBQuill accepts an OpenAI-compatible text-model endpoint and does not require a specific model vendor.checked 4 Oct 2026
- Purpose
- DBQuill is an open-source, local-first AI database agent for asking questions in natural language, reviewing database operations, and viewing charts.checked 4 Oct 2026
- Security
- Reads are single-statement and row-bounded, and SQLite reads use physical read-only connections plus query_only.checked 4 Oct 2026
- Support
- Support guidance directs users to the installation guide, diagnostics, and GitHub issues; no response-time or bounty guarantee is offered for security reports.checked 4 Oct 2026
- Write controls
- Writes require validation, a change preview, and explicit confirmation; remote DDL is blocked.checked 4 Oct 2026
Where it runs
- Other platform limits
- macOS, Linux, Windows on ARM, and other Python versions are not release targets yet.checked 4 Oct 2026
- Supported platform
- The current release target is Windows 10 or 11 x64 with CPython 3.12 and Microsoft Edge WebView2 Runtime.checked 4 Oct 2026
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