Multi-user collaboration using File, DBMS or (transfer via XMI, CVS/TFS or Difference Merge). Multi-user collaboration using File, DBMS or Cloud Repository (or transfer via XMI, CVS/TFS or Difference Merge).ĮR/Studio Repository and Team Server (formerly Portal/CONNECT) for web based publishing collaboration and model management, with Business Glossary as standard. IDEF1X, UML DDL, Information Engineering & ERD Model/database comparison and synchronizationĬonceptual, Logical & Physical + MDA Transform of Logical to Physical Supported data models (conceptual, logical, physical)
Standalone with Data, UML, and process modelingĪccess, Greenplum, Apache Hive, HP Neoview, IBM DB2, Informix, Ingres, Interbase, MySQL, Netezza, NonStop SQL, Oracle, PostgreSQL, Red Brick Warehouse, SAP business Suite, SAP Hana, SAP Adaptive Server Enterprise, SAP IQ, SAP SQL Anywhere, MS SQL Server, TeradataĪccess, IBM DB2, Informix, MySQL, MariaDB, PostgreSQL, MS SQL Server, SQLite, OracleĢ005 (before this date known as CaseStudio) MS SQL Server, MySQL, PostgreSQL, Oracle, DB2 MySQL, MS SQL Server, PostgreSQL, Oracle, DB2 MySQL, MS SQL Server, PostgreSQL, Oracle, SQLite MS SQL Server, Oracle, MySQL, PostgreSQL, IBM DB2Īccess, MS SQL Server, Oracle, MySQL, PostgreSQL, IBM DB2 Windows, Linux (Wine), macOS (via CrossOver)ĭata modeling is supported as part of a complete modeling platform.Īccess, Snowflake, Microsoft Azure IBM DB2, Informix, Hitachi HiRDB, Firebird, Interbase, MySQL, MS SQL Server, Netezza, Oracle, PostgreSQL, Sybase, Teradata, Visual Foxpro and others via ODBC/ANSI SQLĪccess, IBM DB2, Informix, MySQL, MS SQL Server, Netezza, Oracle, PostgreSQL, Sybase, and others via ODBC/ANSI SQL IBM DB2, Firebird, InterBase, Informix, Ingres, Access, MS SQL Server, MySQL, SQLite, Oracle, PostgreSQL, Sybase Windows, Linux and FreeBSD (both through Wine) MS SQL Server, MySQL, Oracle, Firebird, InterBase, SQL Anywhere, NexusDB, MariaDB Build complex logical and physical entity relationship models, and reverse and forward engineer databases with ease. Standalone or bundled into a larger toolkit Create high-quality database structures or make automatic changes to existing models, and provide documentation over multiple platforms. This article is a comparison of data modeling tools which are notable, including standalone, conventional data modeling tools and modeling tools supporting data modeling as part of a larger modeling environment. Comparison of notable data modeling tools