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Navicat Data Dictionary vs tbls

Navicat Data Dictionary

navicat.com

tbls

github.com

Side by side

FigureNavicat Data Dictionarytbls
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Self-hosted—Yes
Plans published91
Spec score · Database Documentation Tools6.6 (#25)8.2 (#9)

Plans

Navicat Data Dictionary

  • Standard Monthly SubscriptionPriced on request
  • Standard Yearly SubscriptionPriced on request
  • Standard Perpetual License$1,299, paid once
  • Enterprise Monthly SubscriptionPriced on request
  • Enterprise Yearly SubscriptionPriced on request
  • Enterprise Perpetual License$1,299, paid once
  • Non-Commercial Monthly SubscriptionPriced on request
  • Non-Commercial Yearly SubscriptionPriced on request
  • Non-Commercial Perpetual License$1,299, paid once

Navicat Data Dictionary pricing →

tbls

  • Open-source softwareFree

tbls pricing →

In their own words

Navicat Data Dictionary

Navicat Data Dictionary has no write-up on Specifiction yet; its figures are above.

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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.

Visit github.com