• Google’s Anthos, a well-regarded multi-cloud engine has found much favor with the customers as it makes their applications modern and compatible across any public or private cloud environment, even providing the advantage of AI and ML. With GCP, enterprises don’t have to worry about legacy code, and so they benefit from a fast go-to-market.
• GCP also provides added benefits in terms of pricing, along with all the necessary functionality and security measures.
• Google’s budget-friendly pricing structure offers significant cost savings over AWS and involves no upfront costs.
• GCP’s always-free tier is also more robust than AWS, offering per day, 9 backend instance hours and 28 frontend instance hours on the Google App Engine. Besides, customers can also access 1GB of storage on Cloud Firestore, 5GB of Regional Storage on Google Cloud, and GCP’s NoSQL document database.
• Also in terms of developer experience, GCP has an edge over AWS.
• GCP provides a varied range of services including DataProc and Dataflow. GCP also uses Tensorflow, which is one of the most used Machine Learning libraries available for Deep Learning.
• GCP also outscores AWS in terms of the wide range of customization it provides for any Instance; customization in the case of AWS is limited. In terms of maximum Instance size, AWS has 128 CPUs with 2TB of RAM, whereas GCP has 96 CPU Instance with 1.4TB of RAM.
• The other major difference between AWS and GCD is in terms of Kubernetes services. Kubernetes is an open-source platform developed by Google to manage containerized workloads and services. Leveraging a wide range of tools, the platform facilitates both automation and configuration. Kubernetes services, tools, and support are part of the GCD package. On the other hand, AWS also offers Kubernetes services but the catch is that rollouts on AWS are always delayed.
• The home-field advantage doesn’t end just with Kubernetes services. Google is one of the largest contributors to Open Source Solutions that are now integral to any cloud space. Over the last decade, Google is credited with more than 2,000 open source projects. While AWS gradually benefits from these, Google has the first-mover advantage.
• Another reason that is prompting an AWS to GCP migration is security. As the largest search provider, Google is constantly the target for cyberattacks, and therefore, has more knowledge and hands-on experience in security. It is known to provide industry-leading protection. By default, Google encrypts all data transitions between its customers, data centers and also data in GCP services. AWS data encryption services, on the other hand, are not available by default. This makes AWS more vulnerable to potential attacks. In fact, many cyberattacks are a result of misconfigured cloud servers.
• Google also provides the Cloud DLP tool which developers can use to identify and manage sensitive information; and redact sensitive data from text streams before writing to disk, generating logs, or performing analyses.
• Another factor in favor of GCP is that Google is the third-largest server manufacturer in the world; however, the company does not sell its servers, it builds them solely for its own use. This ensures that the company has complete control over the entire building process to ensure the highest levels of security.

Also Read: Top 8 Cloud Security Best Practices