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Data dictionary tools for MariaDB
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 allows you to connect and scan metadata from multiple sources and build data dictionary automatically in a couple of minutes.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
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| Export: | HTML,MS Excel,PDF |
| Metadata stored in: | Documentation repository/file |
| Commercial: | Commercial |
| Free edition: |
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| 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 |
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 |
phpMyAdmin
PhpMyAdmin is a popular web-based MySQL and MariaDB administration tool. Frequently used operations in PhpMyAdmin are managing databases, tables, columns, relations, indexes, users and permissions, and can be performed via the user interface, while you still have the ability to directly execute any SQL statement. PhpMyAdmin allows you to export data dictionary to HTML.
| Desktop/Cloud: | Desktop |
|---|---|
| ER Diagram: |
|
| Export: | HTML |
| Metadata stored in: | Database metadata |
| Commercial: | Free |
| Free edition: |
|
| Notable features: | Free database designing and managing tool |
| 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: |
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| Export: | HTML,PDF |
| Metadata stored in: | Database metadata |
| Commercial: | Commercial |
| Free edition: |
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| 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: |
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| 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.