我通过保存创建/更新脚本和生成sampledata的脚本来完成。

哇，这么多答案。对于可靠的数据库版本控制，您需要对更改数据库的代码进行版本控制。一些CMS提供配置管理工具，比如Drupal 8中的配置管理工具。以下是一个实用步骤的概述，可以安排您的工作流并确保数据库配置是版本化的，即使是在团队环境中:

My team versions our database schema as C# classes with the rest of our code. We have a homegrown C# program (<500 lines of code) that reflects the classes and creates SQL commands to build, drop and update the database. After creating the database we run sqlmetal to generate a linq mapping, which is then compiled in another project that is used to generate test data. The whole things works really well because data access is checked at compile time. We like it because the schema is stored in a .cs file which is easy to track compare in trac/svn.

The most successful scheme I've ever used on a project has combined backups and differential SQL files. Basically we would take a backup of our db after every release and do an SQL dump so that we could create a blank schema from scratch if we needed to as well. Then anytime you needed to make a change to the DB you would add an alter scrip to the sql directory under version control. We would always prefix a sequence number or date to the file name so the first change would be something like 01_add_created_on_column.sql, and the next script would be 02_added_customers_index. Our CI machine would check for these and run them sequentially on a fresh copy of the db that had been restored from the backup.

我们还准备了一些脚本，开发人员可以用一个命令将本地db重新初始化到当前版本。

要求开发团队使用SQL数据库源代码控制管理系统并不是防止问题发生的灵丹妙药。就其本身而言，数据库源代码控制引入了额外的开销，因为开发人员需要将他们对对象所做的更改保存在单独的SQL脚本中，打开源代码控制系统客户端，使用客户端签入SQL脚本文件，然后将更改应用到活动数据库。

我可以建议使用SSMS插件ApexSQL源代码控制。它允许开发人员通过向导直接从SSMS轻松地将数据库对象映射到源代码控制系统。该插件支持TFS、Git、Subversion和其他SC系统。它还包括对源控制静态数据的支持。

下载并安装ApexSQL源代码控制后，只需右键单击要进行版本控制的数据库，然后导航到SSMS中的ApexSQL源代码控制子菜单。单击Link database to source control选项，选择源代码控制系统和开发模型。之后，您需要为所选择的源代码控制系统提供登录信息和存储库字符串。

你可以阅读这篇文章了解更多信息:http://solutioncenter.apexsql.com/sql-source-control-reduce-database-development-time/

Your project team can have a DBA to whom every developer would forward their create alter, delete, insert/update (for master data) sql statements. DBAs would run those queries and on successfully making the required update would add those statements to a text file or a spreadsheet. Each addition can be labeled as a savepoint. Incase you revert back to a particular savepoint, just do a drop all and run the queries uptil the labelled savepoint. This approach is just a thought... a bit of fine tuning here would work for your development environment.