ERBuilder Data Modeler

 

Complete data modeling solution for data modelers and data architects.

 

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Feature Matrix


 

ERBuilder has three editions: Standard, Professional, and Enterprise. The table compares the features of these editions to help you pick the best one for your needs.

 

 

Features

Standard

For Data
Modeling

Professional

For Advanced Data
Modeling

Enterprise

For Expert Data Modeling
& Documentation 

Visual data modeling

     

Define tables, columns, relationships, keys, sequences, indexes, domains, views, procedures and triggers

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IDEF1X, Crow's Foot, Codasyl and Relational notations

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Auto-arrange tables in the diagram

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Advanced keys management

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Reflexive relationships

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Multiple diagrams

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Multiple projects management

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Syntax highlighting

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Diagram sizing

12 A0

12 A0

12 A0

Split and merge relationship

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Supported databases

     

Oracle database

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Micosoft SQL Server

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MySQL

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MariaDB

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PostgreSQL

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SQLite

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Firebird

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Microsoft Azure SQL database

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Amazon Redshift

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Amazon RDS

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Forward/Reverse engineering

     

Ability to manage connections

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SSL Secure connections (PostgreSQL and MySQL)

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SSH connection to a remote server using password authentication and public key authentication method

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Windows authentication method in MS SQL Server connection

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Model validation

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Generation of SQL/DDL script from data models

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Generation of databases from data models

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Import from local and remote databases(Reverse engineering)

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Version management

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Reporting

     

Export model as an image

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Data model printing

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Model documentation settings

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Generating navigable model documentation in HTML format

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Generating model documentation in MS Word format

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Generating model documentation directly into Confluence

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Test data

     

Validate a model using a database sandbox

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Data forms

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Data grids

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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

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Use the generative AI feature to update an existing data model by auto-generating tables & relationships from descriptions, user stories, or requirements

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AI-Powered description generation for Procedures, Views, and Triggers

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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

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Advanced exploration of a data model

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Advanced search in the data model browser

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Generate web user interface for CRUD applications

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Switch to another target database

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Compare model to model

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Compare model to database

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Compare database to database

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Generate compare HTML report

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Generate database/model synchronization script

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Update model from database

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Build an enterprise data dictionary automatically

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Generate data dictionary/documentation report using the ERBuilder command line

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Requirements management: Ability to create and assign requirements to tables, columns, constraints, triggers, procedures and relationships

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Document a database with custom metadata fields

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Other features

     

Ability to find objects by name

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Global search and replace

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Replacing data type

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Treeview contextual menu

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Copy/Paste

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Undo/Redo

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Options management

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Reach objects from treeview

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