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title: "CodeShip"
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## On this page
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## Overview

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## Summary
CodeShip is a continuous integration solution that lets you get your builds setup and working in just a few minutes with a simple UI and a turnkey environment. From there, you can grow your projects over time to use more sophisticated workflows and setups.

On February 6, 2018 CodeShip was acquired by Cloudbees.


## Response to the CodeShip Comparison Blog Post

CodeShip from Cloudbees created a web page that compared [CodeShip Pro to GitLab CI](https://cms.codeship.com/compare/codeship-pro-vs-gitlab-ci?utm_source=AdWords&utm_medium=GitLab&utm_campaign=Competitor&utm_content=insegment-ad&gclid=EAIaIQobChMIsLPHhKe54QIVRCaGCh1hqQx4EAMYASAAEgK0k_D_BwE). Our goal is to ensure that the comparison information is as accurate as possible.  Below is a list of the items from the CodeShip comparison that were incorrect and  GitLab's true capabilities in these areas.

* Complete control over your build environment - This 100% applies to GitLab. GitLab also has a built-in container registry.
* Dedicated & Flexible Build Machines - GitLab’s runner architecture lets you run on whatever machines you want. In fact Gitlab can auto-scale.
* Parallel Testing - This is a core capability of GitLab. For more on this, see our [Ticketmaster Case Study](https://about.gitlab.com/blog/2017/06/07/continous-integration-ticketmaster/).
* Debugging via SSH Access - GitLab has this capability
* Pre-configured Deployments - GitLab has this capability with our [Auto DevOps](https://about.gitlab.com/product/auto-devops/) feature. Auto DevOps simplifies and accelerates delivery with a complete delivery pipeline out of the box. Simply commit code and GitLab does the rest.

## Resources
* [CodeShip Website](https://codeship.com/)

## Pricing
- [CodeShip Pricing](https://codeship.com/pricing)
  * All Codeship users get unlimited users, teams and projects
  * You can use up to 100 builds per month for free, with unlimited projects and unlimited team members.
  * You can pay for more concurrent builds and more parallel pipelines, or larger instance sizes