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Datablau DDMData modeling product guide

Datablau DDMData modeling product guide

Design models, govern collaboration, manage architecture assets, and use intelligent modeling assistance in one DDM product line.

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C

Data Modeling Client

Design conceptual, logical, and physical models on a visual canvas, apply standards, compare models, and generate DDL.

Open the Data Modeling Client guide

S

Data Modeling Server

Provide a central model repository and Web administration for directories, branches, versions, permissions, approvals, and platform settings.

Open the Data Modeling Server guide

A

Data Architecture Management

Manage business objects, application domains, and application systems, then build data distribution and flow views.

Open the Data Architecture Management guide

D

Data Modeling Agent

Use natural language for modeling, SQL generation, and data analysis with standards, knowledge bases, and MCP tools.

Open the Data Modeling Agent guide

Datablau DDM product overview ​

Datablau DDM is a product line for data modeling and architecture management. Choose the product surface that matches your task, then follow its guide from setup to daily operations.

Product navigation ​

ProductPrimary purposeGuide
Data Modeling ClientCreate and maintain conceptual, logical, and physical models; apply standards; compare models; generate DDL; and connect to the model repositoryClient guide
Data Modeling ServerBrowse and edit models online, and manage directories, branches, versions, permissions, approvals, and platform configurationServer guide
Data Architecture ManagementManage architecture assets, application systems, CRUD relationships, and architecture viewsArchy guide
Data Modeling AgentSupport modeling, SQL generation, and analysis through natural language and integrated toolsDora guide

Suggested reading paths ​

Modelers ​

  1. Install and activate the client, then review the interface layout.
  2. Create a model and learn model operations, entity and table operations, and attribute and field operations.
  3. Apply data standards, naming rules, and model checks.
  4. Save the model locally or to the repository, then use branches and version history for collaboration.

Repository and platform administrators ​

  1. Use Data models to understand the repository and model lifecycle.
  2. Configure directories, permissions, approvals, and workflows.
  3. Maintain labels, custom properties, check rules, drivers, organizations, users, and roles.

Architecture and intelligent assistance ​

  1. Start with Archy to manage architecture assets and application systems.
  2. Start with Dora to configure the model and verify conversational modeling.

Product boundaries ​

DDM Client owns design-time modeling. DDM Server owns centralized storage, permissions, approvals, and online access. Archy manages architecture assets that connect business and application views to models. Dora assists with modeling and analysis; every generated change still requires a review in the model tree, canvas, and change history.