Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Ant
Score 8.0 out of 10
N/A
Apache Ant is a Java library and command-line tool whose mission is to drive processes described in build files as targets and extension points dependent upon each other. The main known usage of Ant is the build of Java applications. Ant supplies a number of built-in tasks allowing to compile, assemble, test and run Java applications.N/A
Codefresh
Score 8.9 out of 10
N/A
Codefresh is a continuous integration/delivery and automation platform for Kubernetes that allows users to build, test, deploy and gather feedback on apps, from Octopus Deploy.N/A
GitLab
Score 8.8 out of 10
N/A
GitLab 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
Apache AntCodefreshGitLab
Editions & Modules
No answers on this topic
No answers on this topic
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
Apache AntCodefreshGitLab
Free Trial
NoNoYes
Free/Freemium Version
NoNoYes
Premium Consulting/Integration Services
NoNoYes
Entry-level Setup FeeNo 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
Apache AntCodefreshGitLab
Considered Multiple Products
Apache Ant

No answer on this topic

Codefresh
GitLab
Chose GitLab
GitLab is rich in features and access control if compared with GitHub also GitHub stands no where in CI/CD if compared with GitLab.
GitLab CI/CD is mature, robust and far better than GitHub actions in all means.
If I talk about quality of support and reponse time of GitLab it is …
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User Ratings
Apache AntCodefreshGitLab
Likelihood to Recommend
8.0
(1 ratings)
7.0
(1 ratings)
8.3
(152 ratings)
Likelihood to Renew
-
(0 ratings)
-
(0 ratings)
9.0
(5 ratings)
Usability
-
(0 ratings)
-
(0 ratings)
10.0
(6 ratings)
Performance
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
-
(0 ratings)
10.0
(12 ratings)
Product Scalability
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Apache AntCodefreshGitLab
Likelihood to Recommend
Apache
Apache Ant is suitable for the scenarios where central repository is not required for your developed application and It has a great architecture with less complexity and the situation where automated configuration is needed then Apache Ant is not suitable for that use case. Apache Ant is easy to use tool.
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Octopus Deploy
While deploying docker images on kubernetes pods I must say Codefresh helped me a lot. It has made my work easy as an Automation tool. I can setup a simple pipelines to automate my build for kubernetes. but for more complex pipelines Codefresh need some improvement
Read full review
GitLab
GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.
Read full review
Pros
Apache
  • Support non java application development as well
  • Flexible
  • XML scripting
  • Support any platform
Read full review
Octopus Deploy
  • Continuous Integration and Continuous Development. we can setup jobs that automatically triggered when there is any changes in code and starts building up the build images automatically and then pushing images to Container Registry
  • We can involve Version control system like github, bitbucket, gitlab etc for integration of Codefresh with our code stored in these Version control systems.
  • On the failure of any jobs/pipeline Codefresh can also send Notification on our email.
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.
Read full review
Cons
Apache
  • Better lifecycle management can be done
  • So much configuration details needs to provide
  • Order of the flow needs to define in advance
Read full review
Octopus Deploy
  • With Codefresh it's become hard to handle complex pipelines
  • Need to focus more on Documentation part
  • UI can be more attractive
  • Security can be more increased
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.
Read full review
Likelihood to Renew
Apache
No answers on this topic
Octopus Deploy
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
Read full review
Usability
Apache
No answers on this topic
Octopus Deploy
No answers on this topic
GitLab
I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
Read full review
Reliability and Availability
Apache
No answers on this topic
Octopus Deploy
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
Read full review
Performance
Apache
No answers on this topic
Octopus Deploy
No answers on this topic
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
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Support Rating
Apache
No answers on this topic
Octopus Deploy
No answers on this topic
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
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Alternatives Considered
Apache
Compare to other tools like Eclipse or Jenkins, Apache Ant is really easy to use tool. and It is very flexible tool which can be learn in couple of days time. And Apache ant help to write the custom java based hooks which enable more capabilities and features in the application
Read full review
Octopus Deploy
It's very scalable It is cost effective It easily get integrated with third party tools It easily get integrated with Kubernetes Docker.
Read full review
GitLab
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.
Read full review
Scalability
Apache
No answers on this topic
Octopus Deploy
No answers on this topic
GitLab
I think is very well designed, and like any VCS it works as intended
Read full review
Return on Investment
Apache
  • Overall positive impact
  • Speed up the development process
  • Easy deployment process
Read full review
Octopus Deploy
  • Positive:
  • As an Automation tools I must say it has reduced manual labour , reduced errors and improved quality of work.
  • It easily get integrated with third party tools which increases ease ness in our work
  • Negative:
  • Although being a very good tools in CI/CD
  • It requires improvement in UI, it's speed, security, optimization.
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
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