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Oracle SQL Developer Data Modeler

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What is Oracle SQL Developer Data Modeler?

Oracle SQL Developer Data Modeler is a free graphical application that enhances productivity and simplifies data modeling tasks. This tool allows users to easily create, view, and adjust a range of models, such as logical, relational, physical, multi-dimensional, and data type models. It also supports both forward and reverse engineering processes, promoting collaboration with its integrated source code management features. Its flexibility enables deployment in both traditional and cloud environments. As a key component of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler is recognized as a robust, standalone product that offers an extensive selection of data and database modeling resources. Moreover, users can access additional materials, including a general FAQ, on the Data Modeler homepage. This document seeks to provide clarity on various pricing-related questions that have surfaced in the community, offering valuable information to assist users in addressing these concerns effectively. By equipping users with this knowledge, the document aims to empower them in making informed decisions regarding their data modeling needs.

What is DBeaver?

Presenting a flexible and complimentary database management solution tailored for developers, database administrators, analysts, and anyone who interacts with databases. This tool is compatible with a broad array of widely-used databases, such as MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, and Presto, among others. The latest enhancements feature a new format configuration editor for the "Copy As" functionality, improved performance through added configurations in the filter dialog, and a sorting capability by column that maintains fixed settings for smaller fetch sizes. Users can now take advantage of case-insensitive filters, and the plaintext view has been upgraded with the addition of top and bottom dividers for better organization. Moreover, the data editor has been revised to resolve issues related to conflicts between column names and alias names, while the command for duplicating rows has been corrected for scenarios involving multiple selections. The context menu has been refreshed to reinstate the edit sub-menu, and new auto-sizing configurations for columns have been implemented to enhance usability. In addition, the dictionary viewer has been fixed for compatibility with read-only connections, and new features allow for highlighting of current and selected rows, which users can customize based on their preferences. This tool is committed to continuous improvement, ensuring that users have an optimal experience while managing their database tasks and challenges. The focus remains on providing a powerful, user-friendly interface that keeps pace with evolving technology and user needs.