Managing different versions of database query languages and tools can be done in various ways, depending on your needs and preferences. Version control systems, like Git, SVN, or Mercurial, can be used to track and manage changes to your code, scripts, or queries. You can create branches, tags, or commits to store different versions of your code and compare, merge, or revert them as needed. Additionally, virtual environments such as Anaconda, Docker, or VMWare can be used to create isolated and reproducible environments for your data projects. Configuration files like YAML, JSON, or XML can also be used to specify the settings and parameters for your data projects. This allows you to define the versions, features, and options of the database query languages and tools that you use and load them when you run your code. Furthermore, configuration files can be used to automate data management tasks like data loading, processing, or reporting.