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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
Pros of CloudBees
- Jenkins6
Pros of Google AI Platform
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What is CloudBees?
What is Google AI Platform?
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What companies use CloudBees?
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What tools integrate with CloudBees?
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