Amazon EC2 vs Google Compute Engine: What are the differences?
Developers describe Amazon EC2 as "Scalable, pay-as-you-go compute capacity in the cloud". Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. On the other hand, Google Compute Engine is detailed as "Run large-scale workloads on virtual machines hosted on Google's infrastructure". Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
Amazon EC2 and Google Compute Engine can be primarily classified as "Cloud Hosting" tools.
Some of the features offered by Amazon EC2 are:
- Elastic – Amazon EC2 enables you to increase or decrease capacity within minutes, not hours or days. You can commission one, hundreds or even thousands of server instances simultaneously.
- Completely Controlled – You have complete control of your instances. You have root access to each one, and you can interact with them as you would any machine.
- Flexible – You have the choice of multiple instance types, operating systems, and software packages. Amazon EC2 allows you to select a configuration of memory, CPU, instance storage, and the boot partition size that is optimal for your choice of operating system and application.
On the other hand, Google Compute Engine provides the following key features:
- High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.
- Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.
- (Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.
"Quick and reliable cloud servers", "Scalability" and "Easy management" are the key factors why developers consider Amazon EC2; whereas "Backed by google", "Easy to scale" and "High-performance virtual machines" are the primary reasons why Google Compute Engine is favored.
According to the StackShare community, Amazon EC2 has a broader approval, being mentioned in 3580 company stacks & 1569 developers stacks; compared to Google Compute Engine, which is listed in 587 company stacks and 414 developer stacks.
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