Data dictionary tools

List of tools that enable design and building of data dictionaries.

Data Dictionary is a set of important information about data used within an organization (metadata). This information includes names, definitions, and attributes about data, owners, and creators of assets. Data Dictionary tools provide insights into meaning and purposes of data elements. They add useful aliases about the scope and characteristics of data elements, as well as the rules for their usage and application.

Dataedo

Dataedo enables you to catalog, document and understand your data with Data Dictionary, Business Glossary and ERDs. It enables to document your relational databases and share documentation in interactive HTML.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: HTML,MS Excel,PDF
Metadata stored in: Documentation repository/file
Commercial: Commercial
Free edition: No
Notable features: ER diagrams, metadata repository, schema change tracking, organizing with modules, documenting missing FKs, custom fields, description suggestions, documentation progress tracking, rich text with images
Runs on: (for desktop): Mac OS,Windows
Database Web Table Diagram
Dataedo Web Table Columns
Database Web Business Glossary

DTM Schema Reporter

DTM Schema Reporter is a documenting tool for database schema. With DTM Schema Reporter, you can analyze and audit database structure, create schema documentation, create a hard copy of the structure snapshots, etc.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: CHM,HTML,MS Excel,MS Word,PDF,Plain text,RTF,XML
Metadata stored in: Database metadata
Commercial: Commercial
Free edition: No
Notable features: Entity relationship diagrams
Runs on: (for desktop): Windows

Xcase

Xcase is a complete database design tool engineered to help you accomplish all your database-related tasks – from database design to modeling to daily modifications – with greater speed and higher quality. It provides access and edit feature for all meta-data attributes (including your own) using customizable browsers and attribute inspectors and provides a fully customizable data dictionary which allows you to include user-defined attributes.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: CSV
Metadata stored in: Program metadata
Commercial: Commercial
Free edition: Yes
Notable features: Fast and accurate database modeling tool
Runs on: (for desktop): Windows

WinA&D

WinA&D is a comprehensive tool for system analysis, requirements management, structured analysis and design, object-oriented modeling with UML and data modeling of information systems. It supports code generation, integrated code browsing, linked text specifications or foreign documents and data dictionary.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: HTML,PDF
Metadata stored in: Program metadata
Commercial: Commercial
Free edition: Yes
Notable features: System models & simulation, code generation from models, models from code, custom project reports
Runs on: (for desktop): Mac OS,Windows

DbSchema

DbSchema facilitates to design, document and manage SQL and NoSQL databases. It is an intuitive designer for complex databases. It allows editing tables or columns directly in the layout, by double-clicking them.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: HTML,PDF
Metadata stored in: Database metadata
Commercial: Commercial
Free edition: No
Notable features: Entity relationship diagram, Reverse engineer schema from database, Relational data browse, SQL editor
Runs on: (for desktop): Linux,Mac OS,Windows

Key functionality of Data Dictionary tools is to give users the ability to document data. Moreover, very important is the possibility to create a collection of multiple repositories, based on different system engines. For a better understanding of the data, some tools allow visualization of the data structure using ERD (Entity-Relationship Diagrams).

From the organization's point of view, a community module within a data dictionary tool proves to be useful. It facilitates the proper information flow, as well as provides sharing opinions on specific objects among the members of an organization.

Nowadays, data discovery and understanding becomes crucial for proper organization performance. There are many benefits to using Data Dictionaries, such as:
• helps avoid data inconsistencies problems,
• it allows introducing unified nomenclature used in the project,
• Make data searchable, and understandable,
• Create a single source of truth about the data from different repositories,

The prepared list includes simple, open-source data dictionaries as well as more advanced software.