SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data dictionary tools for IBM DB2
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.
MagicDraw
MagicDraw is the award-winning business process, architecture, software and system modeling tool with teamwork support. It includes the entity-relationship diagram, SQL database modeling/diagramming and DDL script generation/reverse features. Its automatic report generation engine rapidly-produce comprehensive, professional requirements, software design documentation, elements of MagicDraw data dictionary, and other types of reports.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML,PDF,RTF |
| Metadata stored in: | Program metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | User-friendly visual interface, fast database modeling, Work collaboratively on the same model, Automatic report generation |
| Runs on: (for desktop): | Linux,Mac OS,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: |
|
| Export: | HTML,PDF |
| Metadata stored in: | Program metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | System models & simulation, code generation from models, models from code, custom project reports |
| Runs on: (for desktop): | Mac OS,Windows |
SQL Power Architect
SQL Power Architect data modeling tool has many unique features geared specifically for the data warehouse architect. It is a powerful database utility that not only builds diagrams of databases, but also provides data dictionary language output, which can be used to build database solutions.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML |
| Metadata stored in: | Program metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | Connects to multiple source databases concurrently, Compares data models & database structures and identifies discrepancies, Generates source-to-target visual Mapping Reports, Forward/reverse engineers PostgreSQL, Oracle, MS SQL Server & more |
| Runs on: (for desktop): | Mac OS,Windows |
Enterprise Architect
Enterprise Architect is a fully featured database modeling platform that enables the user to work with their Physical Data models at all stages, from design right through to the implementation of the live database. With Enterprise Architect, a data dictionary can be created that defines data elements, including details such as names, aliases descriptions and allowable values.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML |
| Metadata stored in: | Program metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | Entity relationship diagram, Integrated modeling platform, visual execution analysis, code generation, reverse engineering and scripting |
| Runs on: (for desktop): | Linux,Mac OS,Windows |
SQL Manager
SQL Manager simplifies and automates your database development process and design, explore and maintain existing databases, build compound SQL query statements, manage database user rights, and manipulate data in different ways. The functionality of Create Report Wizard allows you to create simple database objects reports in a few clicks.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML,PDF |
| Metadata stored in: | Database metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | Simple management of all MySQL objects, Advanced data manipulation tools, Report designer with clear in use report construction wizard |
| Runs on: (for desktop): | 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: |
|
| Export: | HTML,PDF |
| Metadata stored in: | Database metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | Entity relationship diagram, Reverse engineer schema from database, Relational data browse, SQL editor |
| Runs on: (for desktop): | Linux,Mac OS,Windows |
DatabaseSpy
Altova DatabaseSpy is the unique multi-database query, design, and database comparison tool that even generates elegant charts directly from query results. The tool lets you can examine tables and relationships in an existing database, edit tables to better suit your needs, or even can add entire tables and specify all their column attributes and relationships to other tables from scratch.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML,MS Word,PDF,RTF |
| Metadata stored in: | Database metadata |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | Graphical database design, Complete DDL scripts for database schemas, Data visualization and charting, Advanced database reporting with charts, Database content editor |
| Runs on: (for desktop): | Windows |
Alation Data Catalog
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: |
|
| Export: | MS Excel |
| Metadata stored in: | - |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | ML auto-suggested business glossary terms |
| Runs on: (for desktop): | - |
GenMyModel
With GenMyModel’s data modeling capabilities, data architects not only keep glossaries and data models under control, but they can design and reverse engineer data models and link them to other IT and business models, such as UML, Archimate and BPMN.The resulting data dictionary stores metadata such as table, column and field descriptions,
in a format that is independent of the underlying database system so generation can be generic.
| Desktop/Cloud: | Cloud |
|---|---|
| ER Diagram: |
|
| Export: | HTML,MS Word,Online HTML,PDF,Plain text,XML |
| Metadata stored in: | Online repository |
| Commercial: | Commercial |
| Free edition: |
|
| Notable features: | - |
| 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.