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  5. Arquillian vs Testcontainers

Arquillian vs Testcontainers

OverviewComparisonAlternatives

Overview

Testcontainers
Testcontainers
Stacks139
Followers59
Votes0
GitHub Stars8.5K
Forks1.8K
Arquillian
Arquillian
Stacks32
Followers48
Votes0

Arquillian vs Testcontainers: What are the differences?

Introduction

Arquillian and Testcontainers are both testing frameworks used for integration testing in Java applications. While they serve a similar purpose, there are key differences between Arquillian and Testcontainers that should be considered when choosing a testing framework.

Key Differences between Arquillian and Testcontainers

  1. Setup Complexity: Arquillian requires some additional setup to integrate with the application under test. It relies on an external container such as a Java EE server or a CDI container to run the tests. On the other hand, Testcontainers simplifies the setup process by providing lightweight, disposable containers that can run alongside the tests without the need for an external container.

  2. Isolation Level: Arquillian focuses on providing a high level of isolation during integration testing. It achieves this by deploying the application under test in a separate container, ensuring that the tests do not interfere with each other. Testcontainers, on the other hand, provides a lower level of isolation as it runs the tests within the same container as the application under test.

  3. Supported Containers: Arquillian has a wide range of supported containers, including Java EE servers, CDI containers, and more. It allows developers to choose from different container options based on their specific requirements. In contrast, Testcontainers primarily focuses on providing container support for Docker. It is specifically designed for running tests in Docker containers.

  4. Test Environment Independence: Arquillian allows for testing in multiple environments, including local machines, continuous integration servers, and remote servers. It provides flexibility in choosing the test execution environment. Conversely, Testcontainers is primarily designed for local machine testing, as it relies on the presence of Docker to create and manage test containers.

  5. Resource Limitations: Arquillian can be resource-intensive due to the requirement of running an external container alongside the tests. It may consume more memory and processing power, especially when dealing with larger Java EE servers. In contrast, Testcontainers provides a lightweight and efficient testing environment by using Docker containers, which typically have lower resource requirements.

  6. Community and Documentation: Arquillian has been around for a longer time and has a larger community and more extensive documentation resources. It has a well-established ecosystem with multiple plugins and extensions. Testcontainers, being a newer framework, has a smaller community and fewer resources available. However, it is gaining popularity and has an active development community.

In summary, Arquillian and Testcontainers differ in terms of setup complexity, isolation level, supported containers, test environment independence, resource limitations, and community/documentation. Choosing the right framework depends on the specific needs of the project, such as the desired level of isolation, the container options available, testing environment requirements, and available resources.

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Detailed Comparison

Testcontainers
Testcontainers
Arquillian
Arquillian

It is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.

It is an integration and functional testing platform that can be used for Java middleware testing. With the main goal of making integration (and functional) tests as simple to write as unit tests, it brings the tests to the runtime environment, freeing developers from managing the runtime from within the test.

Data access layer integration tests; Application integration tests; UI/Acceptance tests
Real Tests; IDE Friendly; Test Enrichment; Classpath Control; Drive the Browser; Debug the Server
Statistics
GitHub Stars
8.5K
GitHub Stars
-
GitHub Forks
1.8K
GitHub Forks
-
Stacks
139
Stacks
32
Followers
59
Followers
48
Votes
0
Votes
0
Integrations
Oracle
Oracle
Docker
Docker
PostgreSQL
PostgreSQL
MySQL
MySQL
Spock Framework
Spock Framework
JUnit
JUnit
Java
Java
Karate DSL
Karate DSL
Selenium
Selenium
Robolectric
Robolectric

What are some alternatives to Testcontainers, Arquillian?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Robot Framework

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Cucumber

Cucumber

Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.

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