GitLab vs. Google Kubernetes Engine

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 Kubernetes Engine
Score 8.0 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
GitLabGoogle Kubernetes Engine
Editions & Modules
GitLab Essential
$0
per month per user
GitLab Premium
$29
per month per user
GitLab Ultimate
$99
per month per user
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
GitLabGoogle Kubernetes Engine
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 Kubernetes Engine
Features
GitLabGoogle Kubernetes Engine
Container Management
Comparison of Container Management features of Product A and Product B
GitLab
-
Ratings
Google Kubernetes Engine
8.6
Ratings
11% above category average
Security and Isolation00 Ratings7.00 Ratings
Container Orchestration00 Ratings10.00 Ratings
Cluster Management00 Ratings10.00 Ratings
Storage Management00 Ratings8.00 Ratings
Resource Allocation and Optimization00 Ratings9.00 Ratings
Discovery Tools00 Ratings6.00 Ratings
Update Rollouts and Rollbacks00 Ratings10.00 Ratings
Self-Healing and Recovery00 Ratings9.00 Ratings
Analytics, Monitoring, and Logging00 Ratings8.00 Ratings
Best Alternatives
GitLabGoogle Kubernetes Engine
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 Kubernetes Engine
Likelihood to Recommend
8.9
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
9.9
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
8.0
(0 ratings)
Support Rating
9.1
(0 ratings)
9.0
(0 ratings)
User Testimonials
GitLabGoogle Kubernetes Engine
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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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.
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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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  • Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
  • GCP is ahead other vendors and always provide the most up to date Kubernetes version.
  • GKE automation for master upgrade and the worker nodes pool works really well.
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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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  • Not as intuitive as it could be
  • Documentation could be better, especially for people using other Google Cloud tools
  • Not the preferred Kubernetes Engine for many apps
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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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No answers on this topic
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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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.
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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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No answers on this topic
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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No answers on this topic
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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Google support is excellent and helpful, but the first answer is always so bureaucratic no matter how many logs, evidence, and information you sent.
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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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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.
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Scalability
I think is very well designed, and like any VCS it works as intended
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No answers on this topic
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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  • Compared to other big K8s providers it has the best price/performance factors.
  • Upgrade process from stable to regular versions
  • Old stable releases: 1.15/1.16 should be in a stable branch.
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ScreenShots

GitLab Screenshots

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