AWS vs GCP: Key Differences and When to Use Each

Both AWS and GCP are leading cloud platforms offering computing, storage, and networking services. AWS is known for its broad service range and global reach, while GCP excels in data analytics and machine learning integration.

Quick Comparison

Here is a quick side-by-side look at AWS and GCP on key factors.

Factor	AWS	GCP
Global Data Centers	25+ regions, 80+ availability zones	35+ regions, 100+ zones
Compute Service	EC2 instances	Compute Engine VMs
Storage Options	S3, EBS, Glacier	Cloud Storage, Persistent Disks
Machine Learning	SageMaker	AI Platform, Vertex AI
Pricing Model	Pay-as-you-go with reserved options	Pay-as-you-go with sustained use discounts
Ease of Use	Steeper learning curve, extensive features	Simpler UI, strong data tools

Key Differences

AWS offers the widest range of cloud services and the largest global infrastructure, making it ideal for enterprises needing diverse solutions and global reach. It has mature tools for compute, storage, and networking, but its interface and service options can be complex for beginners.

GCP focuses on simplicity and innovation in data analytics and machine learning. Its integration with Google’s AI tools and BigQuery makes it a strong choice for data-driven projects. GCP also offers competitive pricing with automatic discounts for sustained use, which can lower costs for long-running workloads.

While AWS has a larger market share and ecosystem, GCP is growing fast with strengths in container orchestration (like Kubernetes) and open-source friendliness. Choosing between them depends on your project needs, budget, and preferred tools.

Code Comparison

Here is how to launch a simple virtual machine instance on AWS using the AWS CLI.

bash

aws ec2 run-instances --image-id ami-0abcdef1234567890 --count 1 --instance-type t2.micro --key-name MyKeyPair --security-group-ids sg-903004f8 --subnet-id subnet-6e7f829e

Output

{
  "Instances": [
    {
      "InstanceId": "i-1234567890abcdef0",
      "ImageId": "ami-0abcdef1234567890",
      "InstanceType": "t2.micro",
      "State": {
        "Code": 0,
        "Name": "pending"
      }
    }
  ]
}

GCP Equivalent

Here is how to launch a similar virtual machine instance on GCP using the gcloud CLI.

bash

gcloud compute instances create my-instance --zone=us-central1-a --machine-type=e2-micro --image-family=debian-11 --image-project=debian-cloud

Output

Created [https://www.googleapis.com/compute/v1/projects/my-project/zones/us-central1-a/instances/my-instance].

When to Use Which

Choose AWS when you need a broad set of mature services, global infrastructure, and enterprise support. It fits well for complex, large-scale applications requiring diverse cloud tools.

Choose GCP when your focus is on data analytics, machine learning, or you want simpler pricing and user experience. It is great for startups and projects leveraging Google’s AI and open-source technologies.

Key Takeaways

AWS offers the largest service variety and global reach for complex needs.

GCP excels in data analytics, machine learning, and simpler pricing.

Use AWS for enterprise-grade, diverse cloud solutions.

Use GCP for data-driven projects and ease of use.

Both platforms support strong container and open-source tools.