What is a Data Container?

By on

A data container is a transportation solution for a database required to run from one computer system to another. A data container is a data structure that “stores and organizes virtual objects (a virtual object is a self-contained entity that consists of both data and procedures to manipulate the data).” This is similar to the packaging of a meal kit: The vendor ships a consumer a box containing recipes, cooking tips, and the exact quantity of ingredients to make it convenient to prepare and eat a meal. Likewise, data containers store and manage data, shipping the configurations to different computer systems for convenient database setup and use. 

Containers provide a fast, efficient, and easily deployed way to implement infrastructure requirements. They also offer an alternative to the use of virtual machines.” 

Docker, a common open-source tool, creates or defines the container to speedily provision databases in a different environment.

Other Definitions of a Data Container Include:

  • “A solution to the problem of how to get software to run reliably when moved from one computing environment to another.” (CIO)
  • A means to “provide process and user isolation.” (Paul Stanton)
  • “A socket that is capable of making any data within a data template accessible.” (Delphix)
  • “A standardized way to package applications – including the code, runtime, and libraries – and to run them across the entire software development life cycle.” (Gartner)
  • An infrastructure providing “rapid deployment in a lightweight framework … ideal for scaling up and down services, rapid provisioning for development, and an integral part of many DevOps workflows.” (IBM)

Data Container Use Cases Include:

  • Delivering applications from the cloud to clients, and vice versa, faster while guaranteeing the same performance
  • Ensuring development, test, and production environments are similar; hence, reducing unexpected behavior

Businesses Use Data Containers to:

  • Save setup time in moving from one computer environment to another
  • Transport big files across a network faster
  • Provide resources in a “just in time” fashion that do not hold up other application functionality (e.g., providing a web browser with what it needs to run a database-related application effectively)
  • Create and implement microservices more effectively

Image used under license from Shutterstock.com

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept