Navicat
bitsCN.com市面上适用于MySQL数据库的管理工具实在太多,无疑为选型增加了不少难度,慧都就对两款最老牌的MySQL管理工具:Navicat for MySQL和EMS SQL Management Studio for MySQL进行了详细测评,希望能帮助到大家。
首先说一下为什么要在数十款MySQL数据库管理工具选择这两款来进行测评。Navicat不用说,说到 MySQL的数据库管理工具,第一个就想到的是它,Navicat在中国拥有众多推崇者,其更新速度和图形用户界面都让很多DBA都对它赞誉有加,作为入 门级的数据库管理工具,小编也非常喜欢它。至于EMS SQL Management Studio for MySQL,也许有些中国开发者就不是很了解了,他和Navicat一样都是非常老牌的数据库管理工具,拥有20多年历史了,而且小编认为EMS更加适合 数据库管理的入门,其功能的实用性和操作的简便性都非常出色,当然GUI稍显老土也是EMS一大短处。
Navicat和EMS SQL Management对比详情
类别 | 项目 |
Navicat for MySQL |
EMS SQL Management Studio for MySQL |
数据库连接 | MySQL版本支持 |
3.23及以上版本 |
3.23及以上版本 |
多重本机或远程服务器连接 |
√ |
√ |
|
通过 SSH 或 HTTP 连接到服务器 |
√ |
√ |
|
连接设置 |
导出或导入设置 |
导出或导入设置 注册设置 |
|
SSL 安全连接 |
√ |
? |
|
数据库管理 | 备份还原DB |
支持备份还原数据库、备份还原选中对象、备份为SQL等 |
支持备份还原数据库、备份还原选中对象等 |
报表工具 |
支持报表创建工具和查看器 |
支持分析表、检查表、维修表、优化表等现成的报表,拥有报表设计器和查看器 |
|
用户权限 |
视觉化的权限管理 |
拥有专门且强大的用户管理器,提供授权管理表单 |
|
数据操作 | 数据查看和编辑 |
强大灵活的数据查看和编辑器 |
支持查看,编辑,搜索,分组,排序,过滤等数据操作 |
导出数据 |
支持格式较少,操作设置简单 |
支持格式较多,而操作较为灵活,如支持一步设置导出到不同数据库 |
|
导入数据源 |
支持从ODBC、EXCEL、ACCESS等导入数据源 |
支持从Excel, DBF, TXT, CSV, XML, Access等导入数据源,且操作灵活 |
|
OLE DB/ODBC的数据结构自动转换 |
× |
√ |
|
同时为多个数据表生成测试数据 |
? |
√ |
|
数据模型工具 | 比对和同步数据库或模型 |
√ |
√ |
逆向工程 |
√ |
√ |
|
图表符号支持 |
支持Crow's Foot, IDEF1x 和 UML |
支持IDEF1X盒IE |
|
可视化编辑关系 |
√ |
√ |
|
保存和打印数据库关系图 |
√ |
√ |
|
批处理计划任务 | 备份还原等服务任务 |
√ |
√ |
导入导出等操作任务 |
√ |
√ |
|
运行外部应用程序等复杂任务 |
× |
√ |
|
其他 | 打印元数据模块 |
支持打印数据库或表结构 |
强大的打印元数据模块,可以自定义打印元数据报表 |
SQL 处理
|
SQL 处理较为强大,拥有简单编辑器功能 |
只允许提取元数据和数据到文本文件或SQL脚本编辑器,和简单的查询功能 |
|
快捷键及界面自定义 |
支持 |
支持 |

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

There are four main index types in MySQL: B-Tree index, hash index, full-text index and spatial index. 1.B-Tree index is suitable for range query, sorting and grouping, and is suitable for creation on the name column of the employees table. 2. Hash index is suitable for equivalent queries and is suitable for creation on the id column of the hash_table table of the MEMORY storage engine. 3. Full text index is used for text search, suitable for creation on the content column of the articles table. 4. Spatial index is used for geospatial query, suitable for creation on geom columns of locations table.

TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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