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MySQL, MS SQL Server, PostgreSQL, Oracle, IBM Db2: Windows Visual Studio Extension 2005 Open ModelSphere: Grandite Enterprises - SMBs - personal Open source MS SQL Server, MySQL, PostgreSQL, Oracle, IBM Db2: Windows, macOS, Linux Standalone with Data, UML, and process modeling 2008 Oracle SQL Developer Data Modeler Oracle: Enterprises Proprietary
Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product. [1] Like SQL, it supports a data definition language (DDL), data manipulation language (DML) and a data query language (DQL), all three with SQL-like syntax. Whereas SQL statements operate on relational tables ...
Multiple database support - Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, Db2, Ingres, and Microsoft Access. Data modelling tool - Create database structures or make changes to existing models automatically and provide documentation on multiple platforms.
Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server.SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.
This is a standalone product for developers to create data models for MySQL, SQL Server, Oracle, PostgreSQL and SQLite databases. Navicat Data Modeler allows users to visually design database structures, perform reverse/forward engineer process, import table structures from ODBC data sources, generate SQL files and print models to files, etc.
It supports model-driven architecture software design, and stores models using a variety of file extensions, such as .bpm, .cdm and .pdm. The internal file structure can be either XML or a compressed binary file format. It can also store models in a database repository. The PowerDesigner data modeling tool's market share in 2002 was 39%. [1]
ER/Studio has a computer-aided software engineering tool (or CASE tool). [2] Users can utilize ER/Studio as a way to take conceptual data model and create a logical data model that is not dependent on a specific database technology. [3] This schematic model can be used to create the physical data model.
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: