Google Cloud Platform vs Amazon Elastic Compute Cloud
Struggling to choose between Google Cloud Platform and Amazon Elastic Compute Cloud? Both products offer unique advantages, making it a tough decision.
Google Cloud Platform is a Ai Tools & Services solution with tags like cloud, infrastructure, platform, services, machine-learning, big-data.
It boasts features such as Compute Engine - Scalable virtual machines, App Engine - Serverless application platform, Kubernetes Engine - Managed Kubernetes clusters, Cloud Storage - Object storage, BigQuery - Serverless data warehouse, Cloud SQL - Managed SQL databases, Cloud DNS - Managed DNS, Networking - Virtual networks, load balancing, Stackdriver - Monitoring, logging, diagnostics and pros including Global infrastructure and network, Autoscaling and load balancing, Integrated services and APIs, Security and compliance features, Pay-as-you-go pricing, Generous free tier.
On the other hand, Amazon Elastic Compute Cloud is a Ai Tools & Services product tagged with iaas, virtual-machines, aws.
Its standout features include Scalable and resizable compute capacity, Ability to launch virtual server instances, Deployment of applications through Amazon Machine Images, On-demand infrastructure with no upfront commitments, Flexible pricing options, Secure and reliable cloud computing platform, and it shines with pros like Scalability and flexibility to meet changing business needs, Reduced infrastructure management overhead, Reliable and secure cloud environment, Wide range of instance types and configurations to choose from, Integration with other AWS services for a comprehensive cloud solution.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Google Cloud Platform
Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. GCP offers computing, storage, networking, big data, machine learning, and application services in the cloud.
Categories:
Google Cloud Platform Features
- Compute Engine - Scalable virtual machines
- App Engine - Serverless application platform
- Kubernetes Engine - Managed Kubernetes clusters
- Cloud Storage - Object storage
- BigQuery - Serverless data warehouse
- Cloud SQL - Managed SQL databases
- Cloud DNS - Managed DNS
- Networking - Virtual networks, load balancing
- Stackdriver - Monitoring, logging, diagnostics
Pricing
- Pay-As-You-Go
- Free Tier
Pros
Cons
Amazon Elastic Compute Cloud
Amazon EC2 is a cloud computing service that provides resizable compute capacity in the cloud. It allows users to launch virtual server instances that run on Amazon's infrastructure. EC2 enables scalable deployment of applications by providing a web service through which a user can boot an Amazon Machine Image to configure a virtual machine.
Categories:
Amazon Elastic Compute Cloud Features
- Scalable and resizable compute capacity
- Ability to launch virtual server instances
- Deployment of applications through Amazon Machine Images
- On-demand infrastructure with no upfront commitments
- Flexible pricing options
- Secure and reliable cloud computing platform
Pricing
- Pay-As-You-Go