Docker vs Container: Difference Between Docker and Container
Updated on Jun 05, 2023 | 9 min read | 6.4k views
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Updated on Jun 05, 2023 | 9 min read | 6.4k views
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Docker containerisation is a unique application that helps to quickly deploy and run applications using the containers available on the platform. However, everything on the Docker platform is not the same, meaning a Docker image differs significantly from a Docker container. Both Docker and container serve the same purpose but differ in use cases.
A container holds a lot of information and data in the form of essential files and documents. A Docker image only presents a picture of a particular environment, whereas a Docker container is responsible for running the entire software.
Let’s explore the Docker image vs container concept and closely understand both.
If you are wondering ‘what is Docker container’, here’s its answer.
A container is a separate area which allows applications to run independently without influencing any other part of the system. Containers are ideal for safely operating applications and databases that contain sensitive information because they are segregated from other parts of the device.
Using containers is very effective since they do not need any overhead or any other part of the operating system. Containers run separately and independently on the operating system. The host machine’s kernel does not get overloaded and has space for executing other applications. Docker users can configure a container as per their requirements.
Containers are also cloud compatible; applications can independently run and integrate with cloud systems. A lot of machinery work is eliminated by building and executing containers inside multiple software. Isolating selective applications from the others in infrastructure is easier with containers.
Docker images are available only in the read-only format, and these are used to include information about building containers. The Docker platform generates containers applying Docker images. A Docker image is very similar to a picture or a blueprint.
To understand ‘what is a Docker image’, one must know what it contains. A Docker image is composed of multiple layers, just like it exists in a snapshot, and all the layers consist of different parameters having distinctive values according to the environment.
The Docker image consists of various objects, runtimes and binary codes to run an application successfully. All these are done with the help of the host operating system kernel, which acts as the backbone of the Docker image.
Docker users can pull images from other sources and also generate images manually. For generating images manually, the Docker user will write a whole set of codes to create a Docker image or file. If the Docker user wants to pull the images from any other file, then the “Docker pull [name]” command has to be executed.
However, all the Docker images are immutable, and any changes cannot be made after the image is created. To change any characteristic in a Docker image, the user must create an image in another container and save it as a new one.
One must know how containers and Docker function to fully understand the concept of Docker container vs image. Let’s look at the functionality of Docker images and containers.
Docker image functions on a read-only system, and any changes in an already created image cannot be made. It is immutable and not dynamic. Docker images are only used to write and execute container creation codes. These are a set of guidelines that acts as a template for building containers.
Docker containers function on a read-write basis, allowing the container to alter and modify the files it includes. This helps to connect the container to the intended network. It allows Docker users to make changes in the file system and create network interfaces per the user’s requirements.
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Though belonging to the same platform, Docker images and containers have different use cases and features.
The table below shows the difference between Docker image and container:
Docker image | Docker container |
Images are blueprints or templates of a container. | Containers are instances and collections of various images. |
Images exist on a logical basis and can be created only once. | Containers have real-world applications and can be created several times using images. |
Images are immutable, and they do not permit any changes or modifications. | Containers allow changes when new images are to be built, and the old ones are lost. |
Images are simple and can work without any computing resources. | Computing resources are necessary for containers to run the applications in connection with a Docker virtual machine. |
The creation of an image requires the writing of codes in a Docker file. | When containers are created with the help of Docker images, the user has to execute the Docker run <image>” command. |
Docker images are utilised to package up applications and make pre-configured servers. | Containers are operated using a file system and server information guided by images. |
Images can be viewed and shared at the Docker hub. | Containers do not require the concept of sharing, and it is only applicable to images. |
A Docker image does not come with any running stage. | Containers have different stages of running and use RAM at that time. |
Any connection with the images is prohibited as it exists only as a picture. | Users cannot connect one container to another to execute and run the commands. |
Docker images can be shared. | Sharing Docker containers directly is not allowed. |
Images come in the format of read-only and consist of multiple layers. | Containers come in the read-write format and consist of a single writable layer. |
The image blueprints can be segregated from containers. | Containers cannot exist without images. |
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Docker has very well captured the containerisation market. It is a popular platform and provides many advantages to the users.
Docker also has some disadvantages. The following are the drawbacks of using containers and Docker:
Docker has proven to be better than containers as it encapsulates all the requirements an application needs to run successfully in one environment. Docker can also be well integrated with cloud platforms which help users to run the application on any server, PC or laptop.
Additionally, Docker containers are very well-optimised and contain all the prerequisites and libraries required to develop an application in a single platform. Docker consists of multiple system tools, libraries settings etc., that allow the container to run independently.
Docker is lightweight and is equipped with the prerequisites of an operating system. Thus, Docker containers are increasingly used in the industry, and the primary use cases are explained as follows:
Docker has captured the containerisation market, and its impact will only increase. But containers have won the constant tussle between the Docker image and container discussion as it provides a complete package to run stand-alone applications. If you want to become a master in this field, consider signing up for the Executive PG Programme in Full Stack Development from IIITB by upGrad. The course will enlighten you about the core concepts of Docker and help you learn how to implement it practically.
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