CloudBees vs Google AI Platform

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CloudBees

95
164
+ 1
6
Google AI Platform

43
114
+ 1
0
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CloudBees vs Google AI Platform: What are the differences?

Developers describe CloudBees as "Enterprise Jenkins and DevOps". Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud. On the other hand, Google AI Platform is detailed as "Create your AI applications once, then run them easily on both GCP and on-premises". Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

CloudBees can be classified as a tool in the "Platform as a Service" category, while Google AI Platform is grouped under "Machine Learning as a Service".

Some of the features offered by CloudBees are:

  • Hosted CI/CD as a Service
  • Flexible and governed software delivery automation
  • Starter Kit

On the other hand, Google AI Platform provides the following key features:

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow
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Pros of CloudBees
Pros of Google AI Platform
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    What is CloudBees?

    Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud.

    What is Google AI Platform?

    Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use CloudBees?
    What companies use Google AI Platform?
    See which teams inside your own company are using CloudBees or Google AI Platform.
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    What tools integrate with CloudBees?
    What tools integrate with Google AI Platform?

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    What are some alternatives to CloudBees and Google AI Platform?
    Jenkins
    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
    CircleCI
    Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.
    Bamboo
    Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.
    Azure DevOps
    Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.
    GitLab
    GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
    See all alternatives