Apache Ant vs. GoCD

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
GoCD
Score 8.0 out of 10
N/A
GoCD, from ThoughtWorks in Chicago, is an application lifecycle management and development tool.N/A
Pricing
Apache AntGoCD
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache AntGoCD
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
Apache AntGoCD
Small Businesses
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
Enterprises
GitLab
GitLab
Score 8.7 out of 10
GitLab
GitLab
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AntGoCD
Likelihood to Recommend
8.0
(1 ratings)
9.0
(2 ratings)
User Testimonials
Apache AntGoCD
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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ThoughtWorks
Previously, our team used Jenkins. However, since it's a shared deployment resource we don't have admin access. We tried GoCD as it's open source and we really like. We set up our deployment pipeline to run whenever codes are merged to master, run the unit test and revert back if it doesn't pass. Once it's deployed to the staging environment, we can simply do 1-click to deploy the appropriate version to production. We use this to deploy to an on-prem server and also AWS. Some deployment pipelines use custom Powershell script for.Net application, some others use Bash script to execute the docker push and cloud formation template to build elastic beanstalk.
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Pros
Apache
  • Support non java application development as well
  • Flexible
  • XML scripting
  • Support any platform
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ThoughtWorks
  • Pipeline-as-Code works really well. All our pipelines are defined in yml files, which are checked into SCM.
  • The ability to link multiple pipelines together is really cool. Later pipelines can declare a dependency to pick up the build artifacts of earlier ones.
  • Agents definition is really great. We can define multiple different kinds of environments to best suit our diverse build systems.
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Cons
Apache
  • Better lifecycle management can be done
  • So much configuration details needs to provide
  • Order of the flow needs to define in advance
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ThoughtWorks
  • UI can be improved
  • Location for settings can be re-arranged
  • API for setting up pipeline
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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
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ThoughtWorks
GoCD is easier to setup, but harder to customize at runtime. There's no way to trigger a pipeline with custom parameters.
Jenkins is more flexible at runtime. You can define multiple user-provided parameters so when user needs to trigger a build, there's a form for him/her to input the parameters.
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Return on Investment
Apache
  • Overall positive impact
  • Speed up the development process
  • Easy deployment process
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ThoughtWorks
  • ROI has been good since it's open source
  • Settings.xml need to be backed up periodically. It contains all the settings for your pipelines! We accidentally deleted before and we have to restore and re-create several missing pipelines
  • More straight forward use of API and allows filtering e.g., pull all pipelines triggered after this date
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