Erwin Data Modeler
erwin Data Modeler is a data modeling and design tool used by data architects and analysts to graphically design, document, and standardize data assets. It helps organizations align information systems with business requirements.
data-modeling
database-design
data-architecture
Erwin Data Modeler: Graphical Design Tool for Data Modeling
A data modeling and design tool used by data architects and analysts to create graphical designs, document, and standardize data assets, helping organizations align information systems with business requirements.
What is Erwin Data Modeler?
erwin Data Modeler is a powerful data modeling and design tool used by data architects, data analysts, and database administrators to graphically design, document, and standardize structured data assets across the organization. The software facilitates data governance by helping align information systems with business requirements.
Key features of erwin Data Modeler include:
- Intuitive graphical interface for visualizing and mapping data models
- Forward and reverse engineering capabilities for synchronizing designs with database schemas
- Multi-model support for conceptual, logical, physical, and domain data models
- Model comparison and version management functions
- Automated documentation generation
- Metadata integration with repositories and data dictionaries
- Collaboration capabilities for team-based development
erwin Data Modeler enables enterprises to implement standards for consistent data management across various platforms and databases. It enhances understanding of data assets through centralized model repositories and provides detailed custom reporting. The solution is used across industries in database engineering, data warehousing, metadata management, and application development projects.
Erwin Data Modeler Features
Features
- Graphical data modeling
- Data dictionary management
- Database reverse engineering
- Forward engineering to physical databases
- Data lineage and impact analysis
- Business rules and data policies management
- Collaborative data modeling
- Reporting and documentation generation
Pricing
- Subscription-Based
Pros
Comprehensive data modeling capabilities
Intuitive and user-friendly interface
Strong support for various database platforms
Collaborative features for team-based data modeling
Robust data lineage and impact analysis tools
Cons
Relatively high cost compared to some competitors
Steep learning curve for new users
Limited support for NoSQL databases
Older versions may not have the latest features
Official Links
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