DBDock vs tbls
DBDock
dbdock.xyztbls
github.comSide by side
| Figure | DBDock | tbls |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Database Documentation Tools | 9.0 (#2) | 8.2 (#9) |
| License | The CLI repository is released under the MIT license and is described as self-hosted and free forever. | The software is released under the MIT License and permits use, copying, modification, publication, distribution and sublicensing subject to its notice requirement. |
| Maker | Tekcify presents DBDock as one of four live products in its product studio. | The repository owner and copyright holder is Ken'ichiro Oyama. |
Plans
In their own words
DBDock
DBDock is a database toolkit for backups, restores, copies and cross-database migrations. Its free, MIT-licensed CLI supports backups and restores for PostgreSQL, MySQL/MariaDB, SQL Server and Redis. It also supports migration between MongoDB and PostgreSQL in either direction, with schema mapping, dry runs and incremental sync. Backup storage can be local disk, AWS S3, Cloudflare R2, Cloudinary or managed DBDock Storage. The CLI supports cron-based automation and email or Slack notifications. DBDock Cloud adds a managed dashboard with scheduled jobs, managed storage, teams and alerts. Listed safeguards include AES-256-GCM encryption with PBKDF2 key derivation, credential masking and `.pgpass` support. Cloud Sync sends non-secret metadata while database passwords, storage keys, encryption secrets and webhook URLs stay on the user's machine. A TypeScript SDK provides programmatic access from Node.js applications. The CLI requires Node.js 18 or newer, and PostgreSQL backups also require PostgreSQL client tools. DBDock is listed for Linux, macOS, Windows, web, API and self-hosted use.
tbls
tbls is a command-line tool for documenting databases and checking their schemas. It generates GitHub Flavored Markdown and can export schema information in formats including DOT, PlantUML, Mermaid, SVG, PNG, JPG, JSON, YAML, Excel, and configuration files. Its configurable lint rules can require column comments or set column-count limits. The `diff` command compares a database schema with generated documentation or another database, while `coverage` measures documentation for descriptions and comments. Documented data sources include PostgreSQL, MySQL, MariaDB, SQLite, BigQuery, Cloud Spanner, Amazon Redshift, SQL Server, Azure SQL, Microsoft Fabric Warehouse, DynamoDB, Snowflake, MongoDB, ClickHouse, Databricks, JSON, HTTP, and GitHub. Docker and a GitHub Action are documented for CI use, and external drivers can extend database support. It runs on Linux, macOS, and Windows, or in a self-hosted setup. The listed plan is free under the MIT License. SQL Server requires version 2017 or later and database compatibility level 110 or higher.