GitLab vs. Google Cloud Run

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
GitLab
Score 8.7 out of 10
N/A
GitLab DevSecOps platform enables software innovation by aiming to empower development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. Differentiators, as described by Gitlab: Simplicity: With GitLab, DevSecOps can…
$0
per month per user
Google Cloud Run
Score 9.1 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.N/A
Pricing
GitLabGoogle Cloud Run
Editions & Modules
GitLab Essential
$0
per month per user
GitLab Premium
$29
per month per user
GitLab Ultimate
$99
per month per user
No answers on this topic
Offerings
Pricing Offerings
GitLabGoogle Cloud Run
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
GitLabGoogle Cloud Run
Considered Both Products
GitLab
Chose GitLab
As mentioned earlier, the features like chart visualization sets it apart from the others. Other than that, GitLab is open source while other are not and comparatively more secure that its other counterparts. Also, GitLab supports adding other types of attachments which is not …
Chose GitLab
When i was using the other platform, Some time i face down time, But GitLabs its not happening for single time. GitLab is having easy user interference as compared to other platforms. Pull Request, Code review, Issue tracking, Merging, Access control and User Roles is having a …
Chose GitLab
GitLab is miles ahead of the competition. In so many words, having a simple UI with robust security and the ability to conduct Git actions takes the cake. The competitions like to say they can do these things easily but their products are more confusing and hard to use.
Chose GitLab
GitLab allows a self-hosted version that is easy to setup and configure. It is also open-source as compared to GitHub. The integrated CI/CD tools is a plus, since we do not have to worry about those tools, unlike Github. The All-in-one solution of GitLab made sense for our …
Chose GitLab
Gitlab offers the best support for CI/CD pipelines and the highest degree of customisation for workflows, permissions, and integrations. The integration of BitBucket with JIRA is better than GitLab but CI/CD features are limited in comparison. GitLab's built-in Container …
Chose GitLab
Gitlab provides basic functionality like any other git tool. Some features of push and pull requests , clone and merge is handled equally well. It lacks in AI features which are there in GitHub and setup processes are difficult. Cost difference is the only concern while …
Chose 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" …
Chose GitLab
It's much simpler than the competitors. The one important feature Gitlab stand out is the CI/CD pipeline. GitHub required integration with external CI tools but Gitlab has this feature built-in. Compare to Jenkins and Teamcity, It's easy to use without any additional Plugins. …
Chose 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 …
Chose GitLab
I tried Github in the past, and it was really similar as GitLab. But we prefer use GitLab for the cicd part, easier to handle
Chose GitLab
i have more exoerence in GitLab rather than bitbucket . As personally , it is good for me to understand how things is going on. i have used personally and also in organisation . It is great for developer to see there 3 months ago code and also can come up with new solution to …
Chose GitLab
Because with Visual Studio code, it was very easy for us to install GitLab in it and have easy access through the terminal and due to GitLab, it was easy to implement codes regarding API and AWS services to make our software better. Gitlens and all features help to check the …
Chose GitLab
GitLab provides a far superior platform due to it's great integration and CI/CD focus. And while in the beginning the UI might look a bit overwhelming with use you will find it way more useful than it's competitors. The variables and settings also make way more sense and it's …
Chose GitLab
My feedback may not be important here because when I joined the company they already had GitLab and we still use it due to the ability to do CI/CD Integration, deployments, debugging, code owners approval, and Jira integration. So far we have not had any major blocker that has …
Chose GitLab
Github is more open-source first and enterprise-first second in their approach. The reverse is true for GitLab. Both are exceptional products and it highly depends on the specific needs of an org
Chose GitLab
Used Jenkins to connect with GitLab for building and deployment of microservices. GitLab helps in easy integration.
Chose GitLab
GitLab has a open-source community and great documentation that provides support resources and community contributions. AWS CodeCommit is used for integration with other AWS services in the AWS ecosystem and also have a low community and support compared to GitLab hence …
Chose GitLab
It was a management decision to use GitLab over other tools. It integrates well with RBAC using Terraform. Runners are easy to setup. Almost all the features the organization used before are available in GitLab.
Chose GitLab
For small projects or companies that do work on a few only code repositories selecting one of the git code hosting services like GitLab, GitHub, Bitbicket etc does not make a big difference.

But, if you are on a code development company that handles too many repositories and …
Chose GitLab
Software delivery is the key objective and GitLab made it much easier to hit the group quickly. It worked well with automation, and integrations with other SDLC tools used in the Organization and it is really easy to use. It's widely adopted and has the power to deliver what we …
Chose GitLab
1. Easier to use and setup then any other product.
2. CI/CD is also easier in GitLab
Chose GitLab
GitLab's online IDE and code modification is much better compared to Stash. While pricier than Bitbucket, Gitlab also provides CI CD configuration better than BB.
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 …
Google Cloud Run
Chose Google Cloud Run
Most of our existing serverless services are deployed on Google to it was a natural choice. With the new artifact registry, its very easy to deploy. With git flows, its now even easier to update the deployment just with a commit to the main branch. The initial trial period is …
Chose Google Cloud Run
The other two obvious cloud providers have direct alternatives: AWS Lambda and Azure Functions. Both were also evaluated briefly (only to validate that they exist); however, the organization had settled on shifting to Google for business reasons, and therefore, the comparison …
Chose Google Cloud Run
Google Cloud Run is integrated into GCP resources, admin, and billing. But it is not as easy to use as some other platforms like Heroku.
Chose Google Cloud Run
Flexibility of features snd customzing options tha optimized the large process and make it on the the go to reuse the same process in multiple deployments ot rollouts
Chose Google Cloud Run
Cloud Run is just so much easier and straightforward to work with than EC2 when it comes to getting a Docker image up and running and serving requests.
Chose Google Cloud Run
Clear separation between container and execution layer.
Chose Google Cloud Run
Usage is easy and also we have GCP as out cloud partner hence we made up our mind to go with Cloud Run and so far no issues things are going fine with it. and getting good features from Google in it.
Chose Google Cloud Run
DigitalOcean auto scale droplets is still in early stages and is not on par with Google Cloud Run.

It is easy to develop and test Google Cloud Run applications compared to other available alternatives.
Chose Google Cloud Run
For us, Google Cloud Run is a complement to Google Tag Manager to enable server-side data collection.
Chose Google Cloud Run
AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Chose Google Cloud Run
The Goolge docs for their products as well as the UI is a lot nicer than AWS or Azure and in general I found it much easy to work with. We selected Google mainly because of startup credits and the support offered but can confidently say we would choose them again without that …
Features
GitLabGoogle Cloud Run
Container Management
Comparison of Container Management features of Product A and Product B
GitLab
-
Ratings
Google Cloud Run
7.3
Ratings
6% below category average
Security and Isolation00 Ratings8.60 Ratings
Container Orchestration00 Ratings8.40 Ratings
Cluster Management00 Ratings6.40 Ratings
Storage Management00 Ratings2.70 Ratings
Resource Allocation and Optimization00 Ratings8.10 Ratings
Discovery Tools00 Ratings7.60 Ratings
Update Rollouts and Rollbacks00 Ratings8.00 Ratings
Self-Healing and Recovery00 Ratings8.10 Ratings
Analytics, Monitoring, and Logging00 Ratings7.50 Ratings
Best Alternatives
GitLabGoogle Cloud Run
Small Businesses

No answers on this topic

Portainer
Portainer
Score 9.6 out of 10
Medium-sized Companies
Veracode
Veracode
Score 8.7 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Enterprises
Veracode
Veracode
Score 8.7 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
GitLabGoogle Cloud Run
Likelihood to Recommend
8.9
(0 ratings)
8.2
(0 ratings)
Likelihood to Renew
9.9
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
6.4
(0 ratings)
Support Rating
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
GitLabGoogle Cloud Run
Likelihood to Recommend
It is well-suited for any project that needs VCS. It's an excellent choice for teams that might be remote or have to collaborate across teams. Plenty of features allow for async working. With its dashboards and reporting features, it is also suitable for nontechnical PMs or stakeholders. It allows for very bespoke customization and can most often do much more than you need it to.
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Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
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Pros
  • 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.
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  • Real-time autoscaling. Escalamento automático em tempo real
  • Simplified Continuous Deployment. Implantação contínua simplificada
  • Running tasks in the background. Execução de tarefas em segundo plano
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Cons
  • 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.
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  • Cloud Run doesn't allow you to redeploy an already existing revision which can be inconvenient in some use cases
  • Tricky to get the deployment working to start but once it's working that's great
  • The actual deployment is not the fastest but it's not too bad
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Likelihood to Renew
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
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We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features
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Usability
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!
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The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
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Reliability and Availability
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
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Not seen any major issues when we run applications its good
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Performance
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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Initially we felt slow but slowly it picked up and easy to manage
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Support Rating
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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No answers on this topic
Implementation Rating
No answers on this topic
I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical
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Alternatives Considered
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.
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AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.
Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.
Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.
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Scalability
I think is very well designed, and like any VCS it works as intended
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It has good auto scale feature and reliable also
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Return on Investment
  • 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
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  • It has saved us some costs since we now do not require a live server and have moved to a serverless workflow for these services
  • Breaking changes do not affect the entire application now that we have separated our concerns using a serverless service
  • Much easier to debug since we can now isolate our services and reduce the search space for finding/fixing bugs
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ScreenShots

GitLab Screenshots

Screenshot of GitLab, a comprehensive DevSecOps platform.Screenshot of Security DashboardScreenshot of Merge Request