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Database documentation tools for Amazon Redshift
List of tools that allow the documentation (e.g. with descriptions) of schema of your databases.
Database documentation is a set of descriptions of the data, that facilitate management, maintenance, and retrieval of resources. Documentation can take many forms, however, it usually acts as a data catalog that holds detailed information about the table schema, all relationships, data types, etc. Description of datasets as well as single data objects also is referred to as metadata (data about the data).
Dataedo
Dataedo enables you to catalog, document and understand your data with Data Dictionary, Business Glossary and ERDs. It enables to document your databases and share documentation in interactive HTML.
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| Runs on: (for desktop): | Windows |
| Commercial: | Commercial |
| Free edition: |
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| Allows editing: |
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| Metadata stored in: | External repository |
| Export: | HTML,MS Excel,PDF |
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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.
| Data Lineage: | - |
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| Runs on: (for desktop): | - |
| Commercial: | Commercial |
| Free edition: |
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| Allows editing: |
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| Metadata stored in: | Database comments/extended properties |
| Export: | HTML,PDF |
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DbSchema
DbSchema facilitates to design, document and manage SQL and NoSQL databases. It is an intuitive designer for complex databases and provides documentation in HTML and PDF formats with interactive diagram vector image.
| Data Lineage: | - |
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| Runs on: (for desktop): | - |
| Commercial: | Commercial |
| Free edition: |
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| Allows editing: |
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| Metadata stored in: | Database comments/extended properties |
| Export: | HTML,PDF |
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ERBuilder Data Modeler
ERBuilder Data Modeler allows developers to graphically design databases by using entity relationship diagrams, and automatically generates the most popular SQL databases.
| Data Lineage: | - |
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| Runs on: (for desktop): | - |
| Commercial: | Commercial |
| Free edition: |
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| Allows editing: |
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| Metadata stored in: | Database comments/extended properties |
| Export: | HTML |
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Select Star
Select Star automatically loads and syncs table comments, column comments, documentation from BI tools and dbt, but you can also add or update documentation easily.
You can also add to and edit documentation easily in Select Star in a few different ways. Select Star also offers other documentation features like tagging and business metrics
| Data Lineage: | - |
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| Runs on: (for desktop): | - |
| Commercial: | - |
| Free edition: |
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| Allows editing: |
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| Metadata stored in: | External repository |
| Export: | CSV,JSON |
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Database documentation tools support data management by creating helpful descriptions, meaningful aliases, and annotating data assets with additional elements. The tools capture all the relevant information about the metadata and make it available to the users in a convenient way (tabular or graphical). The features of documentation tools can vary widely. The tools allow users to:
• Facilitate datasets with meaningful descriptions/aliases,
• Create relational diagrams,
• Advance search of resources,
• Track schema changes,
• Document repositories from various sources, through compatibility with many database engines,
• Automatic documentation export to user-friendly formats and easy-to-share formats (HTML, PDF, Excell )
Developers (especially those working on the backend) are constantly faced with questions from non-IT teams or customers about what a given object means. This is because creating and maintaining documentation is not a top priority. However, using documentation tools has many benefits such as:
• Help Data stewards quickly discover database schema,
• Data becomes understandable for non-IT members,
• Documentation as a single source of truth about the data is available to everyone
• Easier implementation for new people working on the repository,
We have selected database documenters that, we believe, are truly noteworthy. We have included both, open-source tools and advanced, professional software (offering trial versions).