Codeship from CloudBees is a build automation platform from the Austrian company of the same name.
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
CloudBees Codeship
GitLab
Editions & Modules
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
CloudBees Codeship
GitLab
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
GitLab 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.
Back in those days, we didn't know about Gitlab, and Bitbucket didn't provide a CI pipeline. Jenkins is just too much for the simple tasks we wanted to achieve, besides, we didn't have a dedicated server for the sole purpose of having our code pipelined though continuous …
Codeship has been easier for our devops team to work with as far as making delivery plans and build scripts. Anecdotally, it has been more stable over time, cutting down on time investigating why some random part of the delivery process has broken. I am not sure why this is, …
We have been using Codeship for a few years, and what we like is that it's very clear what is built and when. We usually only have one-liners for any configuration option (build, test, deploy) and this way all changes to the build are managed in the version control system and …
Our company uses Jenkins for all internal deployment processes for one very important reason - it's hosted internally. But Codeship is great for personal use - it has intuitive UI, easy setup and tons of integrations.
Codeship is extremely well suited for projects that are version controlled on public hosting such as Github or Bitbucket, and for situations where you need to pick up code from these systems and deploy it to different cloud environments. For example, we had two projects for the same client that were hosted on Github and needed to be deployed to AWS and Heroku. The native CI/CD tools of these cloud environments could not provide a holistic solution to deploy to both environments the way Codeship did.
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.
Codeship provides a set of tools for quickly creating and building our deployment artifacts and push them to the designated servers.
Codeship's hooks allows our developers to simply push tags from our git repositories to initiate a deployment of code to a server. No one outside of the devops team needs any expertise to get our code packages delivered.
Codeship allows us to tie in behat and unit tests easily to prevent delivery of buggy code.
I would like to see a little bit more than the green/red status. If there are tests, it would be good to see how many have failed on a red build.
To improve build times (and reduce feedback times), it would be good to see how long build, tests, and deployment take over time. An overview like that could very easily point to potential areas of improvement. I think Codeship users do not want to bother with the build process, but, if there is anything to improve and increase productivity it's very unlikely that users wouldn't want to do this.
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
GitLab is very useable even new hires are not getting a hard time learning it. You can clone the repository with different options, pushinh and pulling branches are a breeze. Giving code review is intuitive, posting comments and comparing changes on the code doesn't give you a hard time since it's very readable.
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
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
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
Our company uses Jenkins for all internal deployment processes for one very important reason - it's hosted internally. But Codeship is great for personal use - it has intuitive UI, easy setup and tons of integrations.
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.
Having the code tested thoroughly. While it's obviously a part of the job that still requires the developer to sit down and to actually have some decent and thorough tests implemented, by using codeship we were able to guarantee 100% that our code was being tested each and every time it got commited and pushed onto our repositories. Leading to a faster, shorter and sure implementation iterative cycle.
Fewer 'man in the middle' processes which required more steps and people involved just to get the code shipped onto our deployment servers.
Almost inexistent learning curve. Codeship is simple to use and very intuitive. Nobody in our development department had a hard time figuring out how to have it properly configured for each new project created there.