


What is the difference between navicat data transmission and data synchronization?
When we use Navicat to manage the MySQL database, we can use the transfer function to quickly copy the information in one database to another database.
First open Navicat, find a database, right-click to select the data transfer option, as shown below (recommended tutorial: navicat tutorial)
The data transmission interface will pop up next, set the content of the data source. The editor here selected a data table as the transmission data source, as shown in the figure below
Then set the content of the target receiving database on the right, mainly which target database the source data is transferred to, as shown in the figure below
Navicat transfers data from one database and/or schema to another in a detailed analysis process. Navicat provides the latest data for different databases and/or schemas so that each library contains the same information. Users can not only control the rollback transfer process, but also insert, delete and update records to the target, and save the setting data synchronization setting file for use as a setting plan. Select Tools->Data Synchronization from the main menu.
The primary keys and all table structures of all tables must be the same between the source and target. Structure synchronization can be applied before data synchronization.
The information shows whether the running process was successful and the final file is saved in - LogSynchronize.txt.
Open the saved settings file, select the settings file in the "Settings File" tab, click the "Load" button or double-click the settings file.
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Alternatives to Navicat include DBeaver, HeidiSQL, and pgAdmin. 1.DBeaver is open source, supports multiple databases, and is suitable for managing multiple databases. 2.HeidiSQL is free and lightweight, suitable for MySQL and MariaDB. 3.pgAdmin is specially designed for PostgreSQL, and is powerful and suitable for in-depth management.

Alternatives to Navicat include DBeaver and HeidiSQL. 1) DBeaver is known for its powerful data model design and cross-platform support. 2) HeidiSQL is loved by developers for its lightweight and fast response.

Navicat simplifies database management tasks through a graphical interface. 1) Supports multiple database systems, such as MySQL, PostgreSQL, etc. 2) Provide query builder and data migration tools to simplify complex operations. 3) Use connection pooling technology to ensure performance in high concurrency environments.

The main difference between Navicat's CommunityEdition and CommercialVersions is the functionality and usage scenarios. CommunityEdition provides basic database management functions that are suitable for basic needs; CommercialVersions includes advanced functions, such as data model design and automation tasks, suitable for professional needs.

Navicat is a powerful and user-friendly database management tool for beginners and veterans. 1. It supports multiple database types and provides unified interface management. 2. Communication with the database through JDBC or ODBC to simplify operations. 3. Provide SQL editing and optimization tools to improve query efficiency. 4. Support data migration and model design to improve work efficiency.

Navicat is not free, it offers a 30-day trial and paid version. 1. The trial version allows users to experience all functions and a license is required after the expiration of the period. 2. The paid version has personal, corporate and educational licenses, providing full functionality and support.

Navicat is an integrated database development and management tool designed to simplify database operations. 1. Connection management: Supports connecting multiple database servers at the same time. 2. Data operation: Perform SQL queries, data import and export, etc. through GUI. 3. Data model design: Provide visual tools to design and optimize database structure. 4. Automation and scripting: Supports automated tasks and script execution to improve efficiency.

Navicat supports a variety of databases, such as MySQL, PostgreSQL, Oracle, and provides data migration, SQL development and other functions. 1. Connect to the source database (such as MySQL). 2. Connect to the target database (such as PostgreSQL). 3. Select the tables and data to be migrated. 4. Perform migration operations.


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