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erwin Data Modeler (stylized as erwin but formerly as ERwin) is computer software for data modeling.Originally developed by Logic Works, erwin has since been acquired by a series of companies, before being spun-off by the private equity firm Parallax Capital Partners, which acquired and incorporated it as a separate entity, erwin, Inc., managed by CEO Adam Famularo.
Tool Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
Logic Works Inc. was a software company created by CEO Benjamin C. Cohen based in Princeton, New Jersey.Their flagship product was an IDEF1X modeling and database design tool called ERwin whose name is formed from an initialism of ER for Entity Relationship and "win", short for windows.
Look at the comparison of data modeling tools article for other tools which do not have their own article in Wikipedia. The Comparison of database administration tools article contains information about "Visual schema/model/ E-R diagram design" which is part of data modeling .
Enterprise data modelling or enterprise data modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company. Typical outputs of this activity include an enterprise data model consisting of entity–relationship diagrams (ERDs), XML schemas (XSD), and an enterprise wide data dictionary .
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Data-modeling, business-process modeling - round trip engineering Prosa UML Modeller: Yes Yes Open modelbase Yes C++ Java, C#, SQL DDL and SQL queries C++ Java and C# class headers are synchronized between diagrams and code in real-time Programmer's workbenches, documentation tools, version control systems
Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling: