ERBuilder Data Modeler

Komplettlösung zum Modellieren von Daten für Datenmodellierer und Datenarchitekten.

Veröffentlicht von Softbuilder
Wird von ComponentSource seit 2019 vertrieben

Preise ab: US$ 273.42 Version: v8.2.18 NEU Letzte Aktualisierung: Mar 1, 2026

Screenshot von ERBuilder Data Modeler

ERBuilder Data Modeler Spezifikationen

  ERBuilder Professional ERBuilder Enterprise
Visual data modeling
Define tables, columns, relationships, keys, sequences, indexes, domains, views, procedures and triggers • •
IDEF1X, Crow's Foot, Codasyl and Relational notations • •
Auto-arrange tables in the diagram   •
Advanced keys management • •
Reflexive relationships • •
Multiple diagrams • •
Multiple projects management • •
Syntax highlighting • •
Diagram sizing 12 A0 12 A0
Split and merge relationship • •
Supported Databases
Oracle database • •
Microsoft SQL Server • •
MySQL • •
MariaDB • •
PostgreSQL • •
SQLite • •
Firebird • •
Microsoft Azure SQL database • •
Azure Synapse Dedicated SQL Pool • •
Amazon Redshift • •
Amazon RDS • •
Forward/Reverse engineering
Ability to manage connections • •
SSL Secure connections (PostgreSQL and MySQL) • •
SSH connection to a remote server using password authentication and public key authentication method • •
Windows authentication method in MS SQL Server connection • •
Model validation • •
Generation of SQL/DDL script from data models • •
Generation of databases from data models • •
Support for Before and After scripts at both project and database table levels • •
Import from local and remote databases (Reverse engineering) • •
Version management • •
Reporting
Export model as an image • •
Data model printing • •
Model documentation settings • •
Generating navigable model documentation in HTML format • •
Generating model documentation in MS Word format   •
Generating model documentation directly into Confluence   •
Test data
Validate a model using a database sandbox • •
Data forms • •
Data grids • •
Test data generation Generate maximum 10 000 rows per table Generate unlimited rows per table
Generative AI features
Automatically generate entity relationship diagrams (ERDs) from natural language inputs such as data model descriptions, user stories, or requirements, using the generative AI feature • •
Use the generative AI feature to update an existing data model by auto-generating tables & relationships from descriptions, user stories, or requirements • •
Advanced Metadata Query Assistant powered by ChatGPT API: Ask and get answers as reports and statistics from your data model • •
Expert mode into the Advanced Metadata Query Assistant: See the SQL query extracted from the natural language question and the ability to fine-tune and edit the query as needed • •
AI-Powered description generation for Procedures, Views, and Triggers • •
Advanced tools
Collaborative modeling with Git: Configure ERBuilder data modeler to work with Git. Browse different versions of the model from the repository, merge and compare with the local model   •
Advanced exploration of a data model • •
Advanced search in the data model browser   •
Generate web user interface for CRUD applications   •
Switch to another target database • •
Compare model to model • •
Compare model to database • •
Compare database to database • •
Generate compare HTML report • •
Generate database/model synchronization script • •
Update model from database • •
Build an enterprise data dictionary automatically • •
Generate data dictionary/documentation report using the ERBuilder command line   •
Requirements management: Ability to create and assign requirements to tables, columns, constraints, triggers, procedures and relationships   •
Document a database with user-defined metadata fields   •
Other features
Ability to find objects by name • •
Global search and replace • •
Replacing data type • •
Treeview contextual menu • •
Copy/Paste • •
Undo/Redo • •
Options management • •
Reach objects from treeview • •
Services
Subscription Period 12 months 12 months
Email Support • •
Minor Updates • •
Major Updates • •