What users are saying about
139 Ratings
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Score 8.3 out of 100

Feature Set Ratings

Infrastructure-as-a-Service (IaaS)

7.5

Google Compute Engine

75%

Service-level Agreement (SLA) uptime

8.2
82%
26 Ratings

Dynamic scaling

8.5
85%
24 Ratings

Elastic load balancing

8.7
87%
20 Ratings

Pre-configured templates

6.1
61%
26 Ratings

Monitoring tools

4.9
49%
27 Ratings

Pre-defined machine images

5.1
51%
27 Ratings

Operating system support

8.7
87%
27 Ratings

Security controls

9.3
93%
27 Ratings

Automation

7.7
77%
2 Ratings

Attribute Ratings

Likelihood to Recommend

8.6

Google Compute Engine

86%
27 Ratings

Likelihood to Renew

9.0

Google Compute Engine

90%
1 Rating

Usability

9.1

Google Compute Engine

91%
8 Ratings

Support Rating

8.6

Google Compute Engine

86%
19 Ratings

Likelihood to Recommend

Google

We use Google Compute Engine in a hybrid and multi-cloud solution. We find that using it for direct ad-hoc use cases meets all of our demands. We have attempted some more complex networking and multi-regional use cases but were not able to achieve satisfactory results. Google Compute Engine is extremely appropriate for anyone requiring quick, scalable, reliable infrastructure.
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Pros

Google

  • A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
  • Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
  • Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
  • Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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Cons

Google

  • The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
  • It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
  • Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
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Pricing Details

Google Compute Engine

Starting Price

$0.004,237 GB

Editions & Modules

Google Compute Engine editions and modules pricing
EditionModules
On-demand price - Predefined vCPUS$0.031611 / vCPU1
Preemptible Price - Predefined vCPUs0.006655 / vCPU2
One-year commitment price - Predefined vCPUS$0.019915 / vCPU3
Three-year commitment price - Predefined vCPUS$0.014225 / CPU4
On-demand price - Predefined Memory$0.004237 / GB5
Preemptible Price - Predefined Memory0.000892 / GB6
One-year commitment price - Predefined Memory$0.002669 / GB7
Three-year commitment price - Predefined Memory$0.001907 / GB8

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up 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.

Likelihood to Renew

Google

Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.
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Usability

Google

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.
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Support Rating

Google

  • 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.
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Alternatives Considered

Google

I've used the AWS stack, the Azure stack, OCI, and IBM cloud. I have found GCP and AWS the easiest to deploy, configure, manage, and so on. Google has offered me at least 5 free in person classes to train me in new features on the platform. Likewise AWS has offered me probably 10 to 15 guided online tutorials, with a person to field any questions. All of this free training will no doubt affect my experience in a serious way, so keep that in mind as a reader. Outside of ease of use and configuration, I haven't experienced performance problems across any of the cloud services that I have used.
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Return on Investment

Google

  • Positive impact on the OpEx with reduction in CapEx resulting from reducing the time to move a workload from on-prem to the cloud
  • Incased RoI by reducing need for on-prem compute
  • Improved agility by providing the option to take on new AI workloads for test and dev without the need for upfront investment in
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