DbSchema vs LLMSchema

DbSchema is a desktop tool for designing, documenting and working with SQL and NoSQL databases on Linux, macOS and Windows. It connects to more than 70 databases through JDBC and can download the needed driver. Users can build interactive schema diagrams, split designs into subsystem diagrams, or create physical schemas while offline and save them as local.dbs files. For connected databases, schema synchronization compares the model with the database and can produce migration SQL for review. The SQL editor offers schema-aware autocomplete, and a visual query builder lets users arrange tables, joins and filters and inspect generated SQL before execution. DbSchema can also publish interactive HTML5 schema documentation that opens in a browser without an installation or license. Connections run directly from the user's computer to the database, with configured SSL and SSH tunnels available. Community Edition is free forever. Pro Monthly is $29.40 a month, and Architect Monthly is $47.04 a month, plus taxes. The shared installer requires no registration and includes a 15-day Architect trial that can be extended by 15 days.

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.