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
Google Kubernetes Engine
Score 8.1 out of 10
N/A
Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Pricing
GitLab
Google Kubernetes Engine
Editions & Modules
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
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
Offerings
Pricing Offerings
GitLab
Google Kubernetes Engine
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
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.
GitLab is a cost effective alternative to names like GitHub and others. It provides easy to use interface that is not dissimilar from GitHub and Atlassian Bitbucket. Where GitLab really shines is in its simplicity and ease of use. It's very intuitive and effectively allows a …
It is easy to use , devsecops/ dataops / gitops implementation is quite easy and straightforward compared to other tools which we have tested , it provides seamless integration with tools like dbt , talend , snowflake , collibra and python. Merge issues as well as pipeline …
I liked GitLab better than Beanstalk. GitLab had a free option, which Beanstalk did not at the time. From what I have used of Bitbucket, I probably like it better than GitLab, specifically I like the design better. Doing things in Bitbucket seemed a bit slower to me though. Now …
GitLab is widely used throughout the developer community and provides all the required features industry wide. Many of the paid features help the team a lot to achieve efficient source code management. Many features like vulnerability management and AI chat while code review in …
Gitlab is an industry standard tool for version controlling of the source code with multiple features used by the developers to maintain efficient development process and scalable services integration on the larger code bases. Multiple tools like AI code review helps the …
GitLab is an industry standard software and provides alot of features helpful for the developers with a suitable price point. It has most of the features that are provided and are useful. Team management and security for the source code and restrictions helps achieve all the …
GitLab is an all-in-one Git and CI/CD platform that also offers generous credits in its free plan. It allows both private and public projects. The pipelines can be fully defined in YAML files put under version control.
GitLab is superior to beanstalk but still lacking in some areas in comparison to newer features to Github. However, it's enterprise based approach is very attractive to many of our top tier clients making it and effective solution for us within their organizations. It's well …
We have recently migrated from Bamboo to GitLab across our enterprise as part of our tech modernization roadmap. GitLab provides a all-in-one platform for integrated code management. The only advantage that Bamboo had over GitLab was the integration with JIRA. The streamlined …
In our case, we opted for an open source solution and complete control of information, meaning we kept critical information and company developments in-house.
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 …
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 …
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.
Because it has the latest features, it is perfect for collaboration, has the best integrations available, and is super secure. Basically, it covers all my needs and the companies. I love its pipelines because of its secrets and agents. I also love that you can manage the …
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 …
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 …
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 …
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" …
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. …
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 …
We have a CICD pipeline, which we wrote using the Gitlab CI file. This is connected directly to our GKE cluster. So, any change in our code will directly start the CICD pipeline. The pipeline first tests the deployment on testing environments. We are also using Helm charts to …
We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely …
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
In comparison to functionality with EKS and AKS, it has a better upgrade path and the price is lower. Not sure why flannel is the primary overlay network provider but network policies are supported as well.
Google Kubernetes Engine has better upgrades and auto-scale management. Google Kubernetes Engine is also the cheapest option for managed Kubernetes, and Google is the principal contributor to the Kubernetes project.
Our organization went with Google's Kubernetes Engine because we are already significantly invested in the Google Cloud Platform. In our evaluation of Amazon's Elastic Kubernetes Service we were turned off by recent concerns about Amazon becoming overly dominant in the cloud …
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.
Google Kubernetes Engine is well suited for dynamic and large workloads since it can scale up with usage. It is easily configurable, which allows for flexibility. User interface is simple to navigate, which reduces roadblocks for a team with people unfamiliar with Kubernetes. Great if you are already using other GCP services as it integrates well with that.
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
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!
It's a great product if you learn it. It has flexibility and is very strong. Autoscaling and Resource management make running huge applications a breeze. Using Helm with Kubernetes and Terraform for infrastructure creation can totally automate your CICD pipeline. You also get easy access to CUDA cores for machine learning.
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
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.
We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely self-managed K8s cluster on Compute Engine VMs, which we did not have the knowledge of and capacity to handle.