Used Navicat for SQL Azure (Database Manager) for Mac?


Navicat for SQL Azure (Database Manager) Analysis

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Navicat for SQL Azure is a trial version database management software designed for Mac users. This tool focuses on providing a robust platform for managing SQL Azure databases effectively. It offers features such as a user-friendly interface, data modeling tools, and advanced query building capabilities, making it suitable for both novice and experienced database administrators. Additionally, it supports data synchronization, import/export functions, and comprehensive data visualization tools to enhance productivity.

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The application enables users to establish secure connections to SQL Azure, facilitating seamless access to data from anywhere. With built-in support for various database operations, Navicat for SQL Azure allows users to manage their database structures, execute SQL queries, and perform data analysis efficiently. Its functionality is complemented by a range of customization options and an intuitive design, ensuring that users can navigate through their tasks with ease.


Used Navicat for SQL Azure (Database Manager) for Mac?


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Full Specifications

GENERAL
Release
Latest update
Version
9.1.4
OPERATING SYSTEMS
Platform
Mac
Operating System
  • Mac OS X 10.5
  • Mac OS X
  • Mac OS X 10.6
Additional Requirements
None
POPULARITY
Total Downloads
178
Downloads Last Week
0

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Last Updated


Developer’s Description

Create, browse, and manage SQL Azure databases from your machine.
Navicat (SQL Azure Database Manager) is a SQL Azure database management tool, which can convert XML, CSV, MS Excel, MS Access, and popular data formats to SQL Azure databases, eliminating time-consuming data entry and the errors that accompany it. Other useful major features include Import and Export wizard, Unicode support, SSH Tunnel, Batch Job Scheduling, Data Synchronization, Data Transfer, Visual Query Builder, and Visual Report Builder. Navicat features importing data from ODBC and batch job scheduling.

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Content created and reviewed by Softonic with information obtained from Postgresql Community, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.