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

ER/Studio

ER/Studio Data Architect helps to easily reverse- and forward-engineer, compare and merge, and visually document data assets across multiple platforms and data sources. The Data Dictionary is a feature of ER/Studio that allows the sharing of many objects including domains, defaults, rules, and attachments. Using the Data Dictionary you can enforce standards, promote reuse, and build a common framework across all models.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: HTML
Metadata stored in: Documentation repository/file
Commercial: Commercial
Free edition: No
Notable features: Data modeler, Entity relation diagram, Model sharing
Runs on: (for desktop): Windows

Hackolade

Hackolade is a tool for Agile visual data modeling for JSON and NoSQL databases. It provides graphic visualization of complex data structures using Entity-Relationship diagrams to represent denormalized data in a user-friendly way. Besides that, it provides the functionality of designing one data dictionary of objects and using it in different models.

Desktop/Cloud: Desktop
ER Diagram: Yes
Export: HTML,PDF
Metadata stored in: Program metadata
Commercial: Commercial
Free edition: No
Notable features: Graphical visualization, forward and reverse engineering, data governance, data model documentation
Runs on: (for desktop): Linux,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

Tree Schema

The Tree Schema data dictionary provides a single place to define all of the key terms and lingo that drive your business. The Tree Schema dictionary is automatically synced with the tags within Tree Schema, making it easy to define the labels that are important to your business and leverage them to tag your data assets.

Desktop/Cloud: Cloud
ER Diagram: No
Export: -
Metadata stored in: -
Commercial: Commercial
Free edition: Yes
Notable features: Automatically syncs tags with business glossay
Runs on: (for desktop): -
Data dictionary overview
Edit a keyword

Alation

Alation data dictionary defines and describes technical data terms. Data terms could be database schemas, tables, or columns. Once connected to data sources, Alation automatically indexes data and populates catalog pages. For example, a column catalog page shows the technical column name, a business title name, the data type, and popularity. Additional context can be added to the data dictionary, for shared understanding across the organization.

Desktop/Cloud: Cloud
ER Diagram: Yes
Export: MS Excel
Metadata stored in: -
Commercial: Commercial
Free edition: No
Notable features: ML auto-suggested business glossary terms
Runs on: (for desktop): -

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.