DBX vs LLMSchema

DBX is a free, open-source workspace for database connections, object browsing, SQL editing, data changes, schema work, and automation. It supports more than 100 databases and data systems across relational, NoSQL, vector, time-series, embedded, and messaging categories. The CodeMirror 6 SQL editor includes metadata-aware autocomplete, formatting, selected-query execution, diagnostics, history, and saved snippets. Other tools cover virtualized data grids, schema browsing and comparison, ER diagrams, field lineage, imports, exports, and transfers between connections. Its AI SQL assistant works with Claude, OpenAI, local models through Ollama, and OpenAI-compatible endpoints. DBX also has MCP integrations for compatible agents and a command-line interface. It runs as a desktop app on macOS, Windows, and Linux, or as a self-hosted Docker web deployment. Safeguards include read-only connections, confirmations for production writes, reviewable SQL changes, MCP access policies, and encrypted configuration exports. Stored credentials are encrypted, and the plugin store offers signed, sandboxed extensions.

LLMSchema is free, MIT-licensed software that generates database schema documentation for LLMs and AI agents. It extracts relational schemas from PostgreSQL, MySQL, and SQLite, then documents tables, columns, types, indexes, constraints, and relationships in Markdown. The default output is one portable Markdown document. An alternate layout creates an overview plus a separate Markdown file for each table. Users can include selected tables or exclude tables from the generated documentation. LLMSchema is available as a command-line tool and a Go library, with installation instructions for Go and a quick install script for macOS and Linux. The README shows adding schema generation to a Makefile or migration script to keep documentation current. It also suggests pointing a coding agent to the schema files from AGENTS.md, CLAUDE.md, or an equivalent instruction file. The project is self-hosted and listed for Linux, macOS, and Windows. Its maker positions it for development databases and says not to rely on it for production-critical documentation.