GoCD vs. HashiCorp Packer

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GoCD
Score 8.0 out of 10
N/A
GoCD, from ThoughtWorks in Chicago, is an application lifecycle management and development tool.N/A
HashiCorp Packer
Score 8.6 out of 10
N/A
HashiCorp Packer automates the creation of machine images, coming out of the box with support to build images for Amazon EC2, CloudStack, DigitalOcean, Docker, Google Compute Engine, Microsoft Azure, QEMU, VirtualBox, and VMware.N/A
Pricing
GoCDHashiCorp Packer
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
GoCDHashiCorp Packer
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
GoCDHashiCorp Packer
Best Alternatives
GoCDHashiCorp Packer
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
GoCDHashiCorp Packer
Likelihood to Recommend
9.0
(2 ratings)
9.0
(1 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
-
(0 ratings)
10.0
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
GoCDHashiCorp Packer
Likelihood to Recommend
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.
Read full review
IBM
We use packer to generate new machine images for multiple platforms on every change to our Configuration Management tools like Chef/Puppet/Ansible It's act single tool for Image building for Multi-provider like AWS/Azure/GCP Helps to achieve Dev/Prod Parity Packer itself doesn't have a state like Terraform. You can't do packer output AMI ID. If you have a scenario where you want to maintain the state for images it would be tough to manage via Packer.
Read full review
Pros
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.
Read full review
IBM
  • Multi-provider portability
  • Greater testability
  • Super fast infrastructure deployment
Read full review
Cons
ThoughtWorks
  • UI can be improved
  • Location for settings can be re-arranged
  • API for setting up pipeline
Read full review
IBM
  • Manageability
  • Manageability
  • Manageability
Read full review
Likelihood to Renew
ThoughtWorks
No answers on this topic
IBM
We are happy with the use of Packer in our organization. Apart from manageability, I don't find any other drawback with Packer.
Read full review
Usability
ThoughtWorks
No answers on this topic
IBM
It's best for building Image with many features and benefits.
Read full review
Support Rating
ThoughtWorks
No answers on this topic
IBM
I only once required support and it was very smooth.
Read full review
Implementation Rating
ThoughtWorks
No answers on this topic
IBM
I haven't found any issue in Implementation that itself describes how well this tool is built.
Read full review
Alternatives Considered
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.
Read full review
IBM
There are lot of tools in market which does the job for Image creation but all of them are not complete Machine/Image as a code. All other alternatives can create Image partially. Main reason for selecting Packer are Packer is lightweight, portable, and command-line driven Packer helps keep development, staging, and production as similar as possible. Packer automates the creation of any type of machine image Multi-provider portability is the feature to die for
Read full review
Return on Investment
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
Read full review
IBM
  • Super fast infrastructure deployment
  • Quick turnaround of infrastructure in multiple cloud using single tool.
  • Increase productivity by reducing time in infrastructure building.
Read full review
ScreenShots