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JetBrains TeamCity vs. GitLab

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Summary

Team City Java-based build management and continuous integration server from JetBrains. They are widely know for their extended family of integrated development environments (IDEs) for SQL and the programming languages Java, Kotlin, Ruby, Python, PHP, Objective-C, C++, C#, Go and JavaScript. Team City is known for its ease of configuration, reliability and GitHub configuration.

In contrast, GitLab already provides more than what TeamCity does with CI only, by providing a fully integrated single application for the entire DevOps lifecycle. More than TeamCity, GitLab also provides planning, SCM, packaging, release, configuration, and monitoring (in addition to the CI TeamCity is focused on).

Resources

FEATURES

Built-in CI/CD

GitLab has built-in Continuous Integration/Continuous Delivery, for free, no need to install it separately. Use it to build, test, and deploy your website (GitLab Pages) or webapp. The job results are displayed on merge requests for easy access.

Learn more about CI/CD

Built-in Container Registry

GitLab Container Registry is a secure and private registry for Docker images. It allows for easy upload and download of images from GitLab CI. It is fully integrated with Git repository management.

Documentation on Container Registry

Preview your changes with Review Apps

With GitLab CI/CD you can create a new environment for each one of your branches, speeding up your development process. Spin up dynamic environments for your merge requests with the ability to preview your branch in a live environment.

Learn more about Review Apps

A comprehensive API

GitLab provides APIs for most features, allowing developers to create deeper integrations with the product.

Read our API Documentation

Built for using containers and Docker

GitLab ships with its own Container Registry, Docker CI Runner, and is ready for a complete CI/CD container workflow. There is no need to install, configure, or maintain additional plugins.

Cloud Native

GitLab and its CI/CD is Cloud Native, purpose built for the cloud model. GitLab can be easily deployed on Kubernetes and used to deploy your application to Kubernetes with support out of the box.

Kubernetes integration

Comprehensive pipeline graphs

Pipelines can be complex structures with many sequential and parallel jobs. To make it a little easier to see what is going on, you can view a graph of a single pipeline and its status.

Learn more about pipeline graphs

Browsable artifacts

With GitLab CI you can upload your job artifacts in GitLab itself without the need of an external service. Because of this, artifacts are also browsable through GitLab’s web interface.

Learn more about using job artifacts in your project

Scheduled triggering of pipelines

You can make your pipelines run on a schedule in a cron-like environment.

Learn how to trigger pipelines on a schedule in GitLab

Code Quality

Code Quality reports, available in the merge request widget area, give you an early insight into how the change will affect the health of your code before deciding if you want to accept it.

Learn more about Code Quality reports

Multi-project pipeline graphs

With multi-project pipeline graphs you can see how upstream and downstream pipelines are linked together for projects that are linked to others via triggers as part of a more complex design, as it is for micro-services architecture.

Learn more about multi-project pipeline graphs

Easy integration of existing Kubernetes clusters

Add your existing Kubernetes cluster to your project, and easily access it from your CI/CD pipelines to host Review Apps and to deploy your application.

Read more on the issue

Minimal CI/CD configuration

GitLab CI/CD requires less configuration for your pipelines than other similar setups like Jenkins.

Learn more about GitLab CI/CD

View Kubernetes pod logs

Quickly and easily view the pod logs of an app deployed to Kubernetes.

Learn more about viewing Kubernetes pod logs

If you feel there are inaccurate statements in this comparison or a tool missing, please edit this page or propose edits by opening an issue. You can also send an email to devopstools@gitlab.com with your suggested edits if you're unable to open an issue or edit this page.

We strive for technical accuracy and will review and update this post for inaccuracies as quickly as possible.

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