Bitbucket Pipelines聽vs聽GitLab CI

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Bitbucket Pipelines vs GitLab CI: What are the differences?

Introduction

In this Markdown document, we will discuss the key differences between Bitbucket Pipelines and GitLab CI. Both Bitbucket Pipelines and GitLab CI are popular continuous integration and deployment platforms used in software development projects. While they have similar goals, there are several distinct differences that set them apart.

1. Pricing Model:

Bitbucket Pipelines is a part of Bitbucket, a platform owned by Atlassian. Bitbucket Pipelines offers a free tier for small teams and has a flexible pricing structure for larger teams. On the other hand, GitLab CI is a part of GitLab, an open-source platform that offers a free community edition and a subscription-based enterprise edition with additional features. The pricing model of GitLab CI is more focused on providing the enterprise edition with advanced functionalities.

2. Hosted vs Self-hosted:

Bitbucket Pipelines is a hosted service, meaning it is hosted by Atlassian, and users do not have control over the underlying infrastructure. GitLab CI, on the other hand, provides the option of self-hosting, allowing users to have full control over their deployment infrastructure. This allows organizations to have more flexibility and security in managing their CI/CD processes.

3. Integration with Version Control Systems:

Bitbucket Pipelines is tightly integrated with Bitbucket, a popular Git version control system also owned by Atlassian. This integration provides seamless access to code repositories and simplifies the setup process. GitLab CI, on the other hand, is built within the GitLab platform, which is a complete DevOps platform with integrated version control. GitLab CI offers native support for Git repositories and has built-in features specifically designed for code collaboration and version control.

4. Runner Architecture:

Bitbucket Pipelines relies on hosted runners managed by Atlassian for executing CI/CD pipelines. While this provides a convenient solution, it limits the customization options for users. GitLab CI, on the other hand, uses a distributed runner architecture that allows users to deploy their own runners on their infrastructure. This flexibility enables organizations to have control over the resources used for running their pipelines and can improve the performance of CI/CD processes.

5. Extensibility and Customization:

Bitbucket Pipelines offers a limited set of predefined steps and integrations, limiting the extensibility and customization options for CI/CD pipelines. GitLab CI, on the other hand, provides a wide range of features and customizability options. Users can define their own build scripts, leverage a large number of predefined CI/CD templates, and integrate with various third-party tools and services to build complex pipelines tailored to their specific requirements.

6. Community and Ecosystem:

GitLab CI has a large and vibrant community due to its open-source nature. This community actively contributes to the development and enhancement of GitLab CI, providing support, sharing resources, and creating a broader ecosystem. Bitbucket Pipelines, although popular, may have a comparatively smaller community. The availability of a thriving community and ecosystem around GitLab CI provides users with an extensive knowledge base, plugins, and integrations to enhance their CI/CD workflows.

Summary

In summary, Bitbucket Pipelines and GitLab CI differ in their pricing models, hosting options, integration with version control systems, runner architecture, extensibility, and community size. These differences make each platform suitable for different use cases and organizational requirements.

Advice on Bitbucket Pipelines and GitLab CI
Needs advice
on
CircleCICircleCIGitLab CIGitLab CI
and
Jenkins XJenkins X

We are a mid-size startup running Scala apps. Moving from Jenkins/EC2 to Spinnaker/EKS and looking for a tool to cover our CI/CD needs. Our code lives on GitHub, artifacts in nexus, images in ECR.

Drone is out, GitHub actions are being considered along with Circle CI and GitLab CI.

We primarily need:

  • Fast SBT builds (caching)
  • Low maintenance overhead (ideally serverless)
  • Everything as code
  • Ease of use
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Replies (3)
Glenn Gillen
Recommends
on
BuildkiteBuildkite

I think I've tried most of the CI tools out there at some point. It took me a while to get around to Buildkite because at first I didn't see much point given it seemed like you had to run the agent yourself. Eventually it dawned on me why this approach was more ingenious than I realised:

Running my app in a production (or production-like) environment was already a solved problem, because everything was already in some form of "everything as code". Having a test environment where the only difference was adding the Buildkite agent was a trivial addition.

It means that dev/test/prod parity is simple to achieve and maintain. It's also proven to be much easier to support than trying to deal with the problems that come with trying to force an app to fit into the nuances and constraints that are imposed by the containers/runtime of a CI service. When you completely control all of the environment the tests are running in you define those constraints too. It's been a great balance between a managed service and the flexibility of running it yourself.

And while none of my needs have hit the scale of Shopify (I saw one of their engineers speak about it at a conference once, I can't find the video now though 馃槥) it's good to know I can scale out my worker nodes to hundreds of thousands of workers to reduce the time it takes for my tests to run.

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Recommends
on
jFrogjFrog

I would recommend you to consider the JFrog Platform that includes JFrog Pipelines - it will allow you to manage the full artifact life cycle for your sbt, docker and other technologies, and automate all of your CI and CD using cloud native declarative yaml pipelines. Will integrate smoothly with all your other toolset.

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Estu Fardani
Recommends
on
GitLab CIGitLab CI

more configurable to setup ci/cd: * It can provide caching when build sbt, just add this section to yml file * Easy to use, many documentation

Weakness: * Need use gitlab as repository to bring more powerful configuration

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Decisions about Bitbucket Pipelines and GitLab CI

Buddy is one of the most easy-to-use tools for CI I ever met. When I needed to set up the pipeline I was really impressed with how easy it is to create it with Buddy with only a few moments. It's literally like: 1. Add repo 2. Click - Click - Click 3. You're done and your app is on prod :D The top feature that I've found is a simple integration with different notification channels - not only Slack (which is the one by default), but Telegram and Discord. The support is also neat - guys respond pretty quickly on even a small issue.

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Pros of Bitbucket Pipelines
Pros of GitLab CI
    Be the first to leave a pro
    • 22
      Robust CI with awesome Docker support
    • 13
      Simple configuration
    • 9
      All in one solution
    • 7
      Source Control and CI in one place
    • 5
      Integrated with VCS on commit
    • 5
      Free and open source
    • 5
      Easy to configure own build server i.e. GitLab-Runner
    • 2
      Hosted internally
    • 1
      Built-in Docker Registry
    • 1
      Built-in support of Review Apps
    • 1
      Pipeline could be started manually
    • 1
      Enable or disable pipeline by using env variables
    • 1
      Gitlab templates could be shared across logical group
    • 1
      Easy to setup the dedicated runner to particular job
    • 1
      Built-in support of Kubernetes

    Sign up to add or upvote prosMake informed product decisions

    Cons of Bitbucket Pipelines
    Cons of GitLab CI
      Be the first to leave a con
      • 2
        Works best with GitLab repositories

      Sign up to add or upvote consMake informed product decisions

      What is Bitbucket Pipelines?

      It is an Integrated continuous integration and continuous deployment for Bitbucket Cloud that's trivial to set up, automating your code from test to production. Our mission is to enable all teams to ship software faster by driving the practice of continuous delivery.

      What is GitLab CI?

      GitLab offers a continuous integration service. If you add a .gitlab-ci.yml file to the root directory of your repository, and configure your GitLab project to use a Runner, then each merge request or push triggers your CI pipeline.

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      Jobs that mention Bitbucket Pipelines and GitLab CI as a desired skillset
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      What tools integrate with Bitbucket Pipelines?
      What tools integrate with GitLab CI?

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      What are some alternatives to Bitbucket Pipelines and GitLab CI?
      Jenkins
      In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
      CircleCI
      Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.
      GitLab
      GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
      Bamboo
      Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.
      Envoyer
      Envoyer deploys your PHP applications with zero downtime. Just push your code, and let Envoyer deliver your application to one or many servers without interrupting a single customer. In this series, we'll discuss each feature of Envoyer, demonstrating how to use them with a sample project.
      See all alternatives