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3 | 3 | # 通用:
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4 | 4 |
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5 | 5 | * http://db-engines.com
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| 6 | + |
6 | 7 | * Tech On The Net: http://www.techonthenet.com/index.php
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| 8 | +* Readings in Database Systems (commonly known as the "Red Book"):http://www.redbook.io/ |
| 9 | + |
7 | 10 | * SQL Pretty Printer formatter: http://www.dpriver.com/index.php
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8 | 11 | * ApexSQL: http://www.apexsql.com/
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9 | 12 | * RazorSQL: http://www.razorsql.com/
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10 | 13 | * AquaFold: http://www.aquafold.com/
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11 | 14 | * Withdata: http://www.withdata.com/index.html
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12 |
| -* 红宝书:http://www.redbook.io/ |
| 15 | +* HeidiSQL: https://www.heidisql.com/ |
13 | 16 | * erwin: http://erwin.com/
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14 | 17 | * DBeaver: http://dbeaver.jkiss.org/
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15 | 18 | * Navicat: http://www.navicat.com.cn/
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16 | 19 | * DataGrip: https://www.jetbrains.com/datagrip/
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| 20 | +* EMS Database Management Solutions: https://www.sqlmanager.net/ |
17 | 21 | * 数据库比较工具DBCompareTool 0.3.0 preview 发布:http://www.blogjava.net/allenny/archive/2011/09/30/359028.html
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18 | 22 | * DB Compare(SQL Server): http://dbcompare.codeplex.com/
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19 | 23 | * DBComparer(SQL Server): http://dbcomparer.com/
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26 | 30 | * MySQL: http://www.mysql.com/
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27 | 31 | * MySQL参考:http://dev.mysql.com/doc/#manual
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28 | 32 | * Workbench: https://dev.mysql.com/downloads/workbench/
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| 33 | +* SQLyog: https://www.webyog.com/product/sqlyog |
29 | 34 | * 5款常用mysql slow log分析工具的比较:http://bbs.chinaunix.net/thread-1286359-1-1.html
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30 | 35 | * MYSQL常见错误及其解决方式: http://www.cnblogs.com/jiangxinnju/p/5894225.html
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31 | 36 | * MySQL默认数据库: http://www.cnblogs.com/jiangxinnju/p/5901845.html
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32 | 37 | * Should I use field 'datetime' or 'timestamp'? https://stackoverflow.com/questions/409286/should-i-use-field-datetime-or-timestamp
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33 | 38 | * 如何提高MySql的安全性?: http://blog.163.com/longsu2010@yeah/blog/static/17361234820116223593175/
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34 | 39 | * 如何写出高质量、高性能的MySQL查询: http://blog.sina.com.cn/s/blog_a8cf6bb20101a33v.html
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35 | 40 | * 解决mysql字符集乱码问题: http://www.cnblogs.com/dayday-study/archive/2012/05/18/2507276.html
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| 41 | +* MySQL-Front: http://www.mysqlfront.de/ |
36 | 42 |
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37 | 43 |
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38 | 44 | # SQL Server
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