pgModeler vs erwin Data Modeler

Struggling to choose between pgModeler and erwin Data Modeler? Both products offer unique advantages, making it a tough decision.

pgModeler is a Development solution with tags like open-source, postgresql, database-design, sql-script-generation.

It boasts features such as Graphical database modeling, Support for all PostgreSQL data types, Modeling of relationships, constraints, indexes, triggers, functions, Reverse engineering from existing databases, Multi-platform (Windows, Linux, Mac), Customizable graphical interface, SQL code generation, Model validation and pros including Free and open source, Intuitive graphical interface, Cross-platform availability, Support for advanced PostgreSQL features, Active development and community support.

On the other hand, erwin Data Modeler is a Office & Productivity product tagged with data-modeling, database-design, data-architecture.

Its standout features include 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, and it shines with pros like 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.

Feature	pgModeler	erwin Data Modeler
Overall Score	N/A	N/A
Primary Category	Development	Office & Productivity

Product Overview

pgModeler

Description: pgModeler is an open source database modeling tool for PostgreSQL. It allows users to graphically design database models and generate SQL scripts to recreate them in PostgreSQL. Some key features include support for all PostgreSQL data types, relationships, constraints, indexes, triggers, functions, and more.

erwin Data Modeler

Description: 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.

Key Features Comparison

pgModeler Features

• Graphical database modeling
• Support for all PostgreSQL data types
• Modeling of relationships, constraints, indexes, triggers, functions
• Reverse engineering from existing databases
• Multi-platform (Windows, Linux, Mac)
• Customizable graphical interface
• SQL code generation
• Model validation

erwin Data Modeler 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

Pros & Cons Analysis

pgModeler

Pros

• Free and open source
• Intuitive graphical interface
• Cross-platform availability
• Support for advanced PostgreSQL features
• Active development and community support

Cons

• Limited to PostgreSQL only
• Steep learning curve for advanced features
• Lacks some enterprise-level features like version control
• No native support for model collaboration

erwin Data Modeler

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

Pricing Comparison

pgModeler

• Open Source

erwin Data Modeler

• Subscription-Based