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NoSQL Manager

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Description

Introducing a versatile and free database management tool designed for developers, database administrators, analysts, and anyone who engages with databases. It offers compatibility with a wide range of popular databases, including MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, among others. Recent updates include a new format configuration editor for the "Copy As" feature, enhanced performance through additional configurations in the filter dialog, and the ability to sort by column with fixed settings for smaller fetch sizes. Users can now benefit from case-insensitive filters, while the plaintext view has been improved by incorporating top and bottom dividers. Furthermore, the data editor has been rectified to address issues arising from column name conflicts with alias names, and the command for duplicating rows has been fixed for cases involving multiple selections. The context menu has been updated to include the edit sub-menu once again, and auto-sizing configurations for columns have been introduced. Additionally, the dictionary viewer has been corrected for use with read-only connections, and new features support current and selected row highlighting, which can be customized according to user preferences. This tool continues to evolve, ensuring that users have the best possible experience while working with their database management tasks.

Description

The user-friendly design and robust capabilities of the desktop application streamline tasks for both novice and experienced database developers and administrators. With comprehensive support for all MongoDB, MongoDB Enterprise, and Amazon DocumentDB databases, it ensures a seamless working experience. It accommodates various configurations, including replica sets, standalone hosts, and shared cluster connections. The autocompletion feature enhances efficiency by suggesting collection names and methods in MongoDB and Shell commands. As users type in the Shell, the cursor context helps determine whether collection or method completion is needed, making it intuitive. When collection completion is activated, it generates a list of collections present in the current database, facilitating easy access. Additionally, users can effortlessly navigate, view, and edit documents, while performance optimization is achieved through configurable limits and graphical editors tailored for all MongoDB data types. This level of functionality not only enhances productivity but also allows for a more organized workflow in database management.