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
Google Compute Engine
Editions & Modules
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
Google Compute Engine
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level 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.
I have utilised Google Compute Engine in addition to Amazon EC2. Both exhibit excellent performance in terms of consumption, speed, and efficiency.My decision to adopt Google Compute Engine was solely based on how user-friendly it is. more basic UI/UX than EC2.Google's customer …
Google Compute Engine provides on-demand computing resources that are easy to scale up or down according to my organization needs. This allows our business to quickly adapt to changes in demand without having to invest in additional hardware. It also offers a very competitive …
While Amazon EC2 is the best tool for developers to build an app and make it live, It has some downsides too. EC2 requires so much development while Google Compute Engine makes it easy to build an app within a days. EC2 pricing also relatively high compare to Google Compute …
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 …
Google Compute Engine provides flexible cloud resources to deploy instantly and free 300$ credits provided option is a good consideration for those tech savvy who want to test and explore the features of Google cloud platform.
Much of the cloud vendors in the market provide the same core functionality however some differ when it gets to the more technical or nuanced services, or advanced features within a service. Some of these take additional training but have been found to be easy to adopt to in …
Google Cloud lacks the features and compatibility of the other cloud providers. It makes up for that with highly specialized and perfected services like their Big Data and Query features.
Google App Engine is a platform as a service where everything is taken care of by Google and we just need to write the code and deploy it onto it. But we hardly have much control over the VMs and the OS offering is not much. We had a limited amount of OS version supported. …
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.
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.
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
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.
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.
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.