Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. Users can launch instances with a variety of OSs, load them with custom application environments, manage network access permissions, and run images on multiple systems.
$0.01
per IP address with a running instance per hour on a pro rata basis
Google Compute Engine
Score 8.2 out of 10
N/A
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
per month GB
Pricing
Amazon Elastic Compute Cloud (EC2)
Google Compute Engine
Editions & Modules
Data Transfer
$0.00 - $0.09
per GB
On-Demand
$0.0042 - $6.528
per Hour
EBS-Optimized Instances
$0.005
per IP address with a running instance per hour on a pro rata basis
Carrier IP Addresses
$0.005 - $0.10
T4g Instances
$0.04
per vCPU-Hour Linux, RHEL, & SLES
T2, T3 Instances
$0.05 ($0.096)
per vCPU-Hour Linux, RHEL, & SLES (Windows)
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Offerings
Pricing Offerings
Amazon Elastic Compute Cloud (EC2)
Google Compute Engine
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
Azure VM and Google Compute Engine are alternatives to EC2. AWS EC2 is most matures and advanced of the 3. All these provide easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.
Compared to other IaaS providers such as Google Compute Engine, EC2 stands out due to its ease of use, good performance, and low price.
Lately, Google Compute Engine seems to have improved noticeably, but we stack with EC2 for the trust and quality that has generated is in …
AWS EC2 is fully interfaced with the Amazon Web Services platform and Google Compute Engine fits in more with Google. While either provider would have been fine, we are pretty much all built on top of AWS at this point barring some clients. It just flowed easier.
Amazon EC2 is super flexible compared to the PaaS offerings like Heroku Platform and Google App Engine since with Amazon EC2, we have access to the terminal. In terms of pricing, it's basically just the same as Google Compute Engine. The deciding factor is Amazon EC2's native …
Verified User
Team Lead
Chose Amazon Elastic Compute Cloud (EC2)
The availability of AWS startup credits led my choice of AWS EC2.
Amazon was the first one in the market to provide virtual machines in the cloud and certainly gained a lot of popularity before the rest even came to the picture. The different service providers are quite mutually exclusive, and one cannot easily use more than one at the same …
EC2 has better modes, a variety of instances and UI support as compare to GCE. GCE is completely command driven. As compared to it EC2 provides a better user interface.
Security and cost are the major components which impact end users. We evaluated all the cloud platforms, and found AWS EC2 to be very cheap and more secure than GCP. Due to the improper configuration in AWS, we were compromised several times, then fixed it via some partners. …
It is better than other products in terms of their support team, documentation and initially, you can set up your services almost without paying anything. Apart from them, AWS services do have the best availability in any region in compared to other cloud products available …
GCE is available in 3 different regions whereas Ec2 is available in 11 different regions. The compute resources offered by the GCE has lower maximum capacity compared to AWS Ec2. The pricing model of GCE offers first 10 mins free and then charging in increments of 10 mins. Both …
I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.
the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.
The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different …
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability.
It's always good to have an eco-system of products from Google as it's one of the most used search engine and …
AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute …
Google Compute Engine is better than other in terms of the pricing and the performance. But when it comes to ease of use i would prefer Azure Virtual Machines. Other than this I find GCE very competitive with these other solutions
Similar in capabilities, slightly slicker APIs and CLIs. More observability in the default UI and the CLIs. Easier to setup, the google console is slick. Azure has a good user interface as well with lots of documentation to help. CLI is slightly less intuitive, but decent. AWS …
We have never used EC2, however, we chose Google Cloud over Amazon mostly because we felt Google was stronger in the data analytics tools and their platform seemed to be on the rise overall.
The best GCP products - GKE for containerization workload fit to the VM machines specified for different application type (monolithic). These services can be easily integrated with each other with additional benefits.
After all the discounts, GCE is a bit cheaper with much less incidental expenses to deploy and maintain compared to Amazon, Microsoft Azur and Oracle (OCI). It is also easy to manage as the interface is simpler compared to AWS or Azur.
Google Compute Engine has similar capabilities and features as Amazon EC2. Their ecosystems differ, and Amazon has a lead in more innovative products, but Google is working on closing the gap. If sticking to the essential functionality of computing, Google Compute Engine and …
We have used Amazon in the past. GCE has come such a long way since then, we have not looked back. IAM and access are on par, cost management is slightly better on GCE. Where we have really seen improvements are the VM types (GCE allows for deep customization that does not …
The two products are very similar. For what we use each for, the difference is negligible, and we actually use both AWS EC2 and Google Compute Engine GCE.
Neither of them has managed a user-friendly approach to setting up the global distribution of computing systems. Modern day business must be able to cater to the entire world instead of being regional to be competitive. Only Google offers this capability, hence why we have no …
GCE was an easy choice for us after evaluating our options. We needed something that was dynamic enough to handle our specialized stack, but easy enough that our engineers weren't spending too much time configuring and launching. We found AWS's offering to be similar but …
Pricing scale is good. Google Cloud Compute provides additional facilities free of cost (limited storage). Received one year free credits to get started. Nearest regions are available. Others amenities including free repository service available. UI is modern and fast to load. …
I think nowadays, Amazon EC2 is best-suited for most app development and deployment use cases, especially if your resource requirements are not fixed over a long period of time. The flexibility provided by the on-demand pricing and rescaling option makes Amazon EC2 a great service, especially if your tech stack already runs on AWS. On the other hand, I think Amazon EC2 is not the best option if your tech infrastructure runs on another public cloud.
Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.
A great variety of choices in Amazon Machine Image (AMI) types. Users can select a more basic type to run generic workloads, but also have the choice to pick an AMI pre-installed with specific services in the AWS Marketplace.
The range of instance types can support the usage from a student's exploration (inexpensive general-purpose nano instances) to an enterprise's most intense workloads (memory or storage-optimized instances with terabytes of memory and ultra-fast network connection).
The pricing options, from regular instances, reserved instances to spot instances allow users to get the job done and make smart choices about how much they want to pay and when they want to pay.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
This service is a bit difficult to consume. New users need a big learning curve to use this service effectively.
UI for EC2 service is a little complex and at many places, it misses detailed explanation.
Sometimes it takes too long to create images of EC2 instances. This keeps your EC2 up for that extra time. When instances are heavy, it penalizes a lot of money.
Amazon Elastic Compute Cloud (EC2) allows various ways of gaining incidents, such as slow growth, money, and the reserved ones, mostly depend entirely on the necessity, because it makes highly intelligent choices possible at these times, which enable considerable cost savings whilst addressing the situation as best I like.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
The Google Compute Engine is constantly up, healthy, and available. I have never experienced any issues with it loading or functioning.Since it is accessible everywhere in the world, it is always available with low latency for all regions.However, I have occasionally seen problems with various NoSQL databases' availability, such as MongoDB, in terms of speed.Overall though, it's always accessible.
Google Compute Engine's performance is up to the standard and I don't really have any complain about that. But website itself does not load quickly and there is a very noticeable delay when the website loads. And no, our system did not our slow down when we integrated Google Compute Engine in our system.
AWS's support is good overall. Not outstanding, but better than average. We have had very little reason to engage with AWS support but in our limited experience, the staff has been knowledgeable, timely and helpful. The only negative is actually initiating a service request can be a bit of a pain.
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
Azure VM and Google Compute Engine are alternatives to EC2. AWS EC2 is most matures and advanced of the 3. All these provide easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
AWS has had a very positive return on investment for every client we have that uses it. They are saving money in the long run.
AWS includes the underlying operating system licenses with their EC2 instances so no longer do we have to navigate through Microsoft licensing headache.
EC2 allows us to easily create a golden image of servers and store them as AMIs. This makes spinning up new servers that need a particular set of software in the future extremely easy and cost-effective.