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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS CodePipeline

    Score6.6 out of 10
    N/AAWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code change, based on the release model a user defines.

    $1

    per active pipeline/per month

    GitLab

    Score8.9 out of 10
    N/AGitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software.

    $0

    per month per user

    Pricing
    AWS CodePipelineGitLab
    Editions & Modules
    AWS CodePipeline
    $1
    per active pipeline/per month
    Free Tier
    Free
    GitLab Free (self-managed)
    $0
    GitLab Free
    $0
    GitLab Premium
    $29
    per month per user
    GitLab Premium (self-managed)
    $29
    per month per user
    GitLab Ultimate
    Contact Sales
    GitLab Ultimate (self-managed)
    Contact Sales
    Offerings
    Pricing Offerings
    AWS CodePipelineGitLab
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsGitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security. If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need. Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration.
    More Pricing Information
    Community Pulse
    AWS CodePipelineGitLab
    Considered Both Products
    Amazon AWS
    Chose AWS CodePipeline
    They all pretty much have the same feature set. AWS CodePipeline has been improving in recent years, and it just makes sense to keep everything within Amazon's ecosystem.
    Incentivized
    GitLab
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    97%
    Would buy again
    150 Answers
    Delivers good value for the price
    No answers on this topic
    99%
    Delivers good value for the price
    135 Answers
    Happy with the feature set
    No answers on this topic
    99%
    Happy with the feature set
    152 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    92 Answers
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    120 Answers
    Best Alternatives
    AWS CodePipelineGitLab
    Small Businesses
    CircleCI
    Score9.3 out of 10
    GitGuardian
    Score9 out of 10
    Medium-sized Companies
    CircleCI
    Score9.3 out of 10
    No answers on this topic
    Enterprises
    CircleCI
    Score9.3 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS CodePipelineGitLab
    Likelihood to Recommend
    9.0
    (8 ratings)
    8.6
    (168 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    9.0
    (1 ratings)
    8.8
    (20 ratings)
    Performance
    6.8
    (2 ratings)
    9.0
    (1 ratings)
    Support Rating
    9.1
    (2 ratings)
    10.0
    (12 ratings)
    Ease of integration
    7.4
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    AWS CodePipelineGitLab
    Likelihood to Recommend
    Amazon AWS
    I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.
    Incentivized
    Read full review
    GitLab
    In general it's a good product with a huge number of features. It can do CI/CD checks, deployment, repo hosting, integrations etc. A lot of it can be managed from just the UI but also has an ok API. It does tend to release new features semi-often too which is nice. It can have a steep learning curve for certain features so not a starter-friendly vendor, but great for most businesses.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • It is reliable and works without errors
    • It integrates well with our repository and all other AWS functions as well as our end database
    Incentivized
    Read full review
    GitLab
    • GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions.
    • It helps maintain code stability and reliability, saving time and effort in the development or research workflow.
    • Powerful code review features, enabling collaboration and feedback among team members.
    • Robust project management features, including issue tracking, kanban boards, and milestones.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Ease of use - things like CircleCI or other tools are a bit easier to learn.
    • Ability to build from more sources.
    Incentivized
    Read full review
    GitLab
    • CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess.
    • Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created.
    • Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    GitLab
    I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features
    Incentivized
    Read full review
    Usability
    Amazon AWS
    Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.
    Incentivized
    Read full review
    GitLab
    - As a combination of features and products, GitLab is a really great tool for developers. - Also, it comes with both light and quick changes in a web browser version, as well as pro work in VS Code mode. However, in certain areas, such as large-scale issues/incidents, management can be improved.
    Incentivized
    Read full review
    Reliability and Availability
    Amazon AWS
    No answers on this topic
    GitLab
    I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version
    Incentivized
    Read full review
    Performance
    Amazon AWS
    Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.
    Incentivized
    Read full review
    GitLab
    GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.
    Incentivized
    Read full review
    GitLab
    At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline.

    CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk.

    Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.
    Incentivized
    Read full review
    GitLab
    GitHub is an inferior product from most points of view. We had to use it and the teams finds no positives about it. Everything is a downgrade from our previous GitLab solution. GitLab CI\CD is vastly superior to workflows, for example doing a manual node is just "when : manual" in GitLab while you have to do clickops in GitHub to achieve the same. No overview of code in branches is a minus when we tried to figure out what our colleagues are trying to merge as it looked off.
    Incentivized
    Read full review
    Scalability
    Amazon AWS
    No answers on this topic
    GitLab
    I think is very well designed, and like any VCS it works as intended
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
    • CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
    • CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.
    Incentivized
    Read full review
    GitLab
    • GitLab cut down our spent on container, package and infrastructure registry
    • Best thing is we can now have everything in single platform which cost effective too
    • Quality of support is really good and they do have emergency support team as well which is great
    Incentivized
    Read full review
    ScreenShots

    GitLab Screenshots

    Screenshot of What is Intelligent Orchestration for DevSecOps?Screenshot of an overview of GitLab Duo Agent PlatformScreenshot of a new agent creation screen