Google Compute Engine

Google Compute Engine

About TrustRadius Scoring
Score 8.2 out of 100
Google Compute Engine

Overview

Recent Reviews

Great Service

9 out of 10
October 28, 2019
We use Google Compute Engine to host a variety of services including proxy servers, small websites, and peripheral services. Additionally, …
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Excelent cloud solution

10 out of 10
August 20, 2019
Using Google Compute Engine, you can manage your costs. It helps to avoid the high costs of buying hardware and setting up a new server …
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Google delivers

9 out of 10
June 29, 2019
Google Compute Engine is used by the DevOps team for hosted Windows servers. This alleviates countless concerns with having a server …
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Reviewer Sentiment

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Negative ()
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Awards

TrustRadius Award Top Rated 2020

Popular Features

View all 9 features

Security controls (27)

9.0
90%

Operating system support (27)

8.6
86%

Pre-defined machine images (27)

6.0
60%

Monitoring tools (27)

5.7
57%

Reviewer Pros & Cons

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Video Reviews

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Pricing

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Preemptible Price - Predefined Memory

0.000892 / GB

Cloud
Hour

Three-year commitment price - Predefined Memory

$0.001907 / GB

Cloud
Hour

One-year commitment price - Predefined Memory

$0.002669 / GB

Cloud
Hour

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://rominirani.com/a-working-guide…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Starting price (does not include set up fee)

  • $0 GB

Features Scorecard

Infrastructure-as-a-Service (IaaS)

7.7
77%

Product Details

What is Google Compute Engine?

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.

Predefined Machine Types
Virtual machine configurations for micro instances to instances with up to 160 vCPUs and 3.75 TB of memory

Custom Machine Types
Or create and customized, virtual machines with the shape (i.e. vCPU and memory) needed for each project

Persistent Disks
Network storage, up to 64 TB in size, can be attached to VMs as persistent disks. Create persistent disks in HDD or SSD formats. If a VM instance is terminated, its persistent disk retains data and can be attached to another instance. Take snapshots create new persistent disks from that snapshot.

Local SSD
Always-encrypted local solid-state drive (SSD) block storage. Local SSDs are physically attached to the server hosting the virtual machine instance. Local SSD sizes up to 3 TB are available for any VM with at least 1 vCPU.

Global Load Balancing
Distribute incoming requests across pools of instances across multiple regions.

Batch Processing
Cost effectively run large compute and batch jobs using Preemptible VMs. Fixed pricing and no contracts or reservations make it easy: simply check a box when you create the VM and turn them off when the work is done.

Containers
Run, manage, and orchestrate Docker containers directly on Compute Engine VMs or with Google Kubernetes Engine.

Google Compute Engine Competitors

Google Compute Engine Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

View all alternatives

Frequently Asked Questions

What is Google Compute Engine?

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.

How much does Google Compute Engine cost?

Google Compute Engine starts at $0.004237.

What is Google Compute Engine's best feature?

Reviewers rate Security controls highest, with a score of 9.

Who uses Google Compute Engine?

The most common users of Google Compute Engine are from Small Businesses (1-50 employees) and the Computer Software industry.

Reviews and Ratings

 (137)

Ratings

Reviews

(1-25 of 27)
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Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Being able to leverage Google's pricing has saved us considerable sums of money
  • Being able to scale up on demand saves our customers a considerable amount of time
  • It acts as a fantastic resource for multi-cloud strategies including backups
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Some of the automated infrastructure deployments we have been able to do on GCE have saved us hassle for our production deployments and allowed us to have periods of downtime for our automated deployment testing environment saving compute resources
  • We are able to run several production deployments for several different customer facing products at a comparable cost to what it cost to run one production deployment at a competitor. This is likely due to a combination of the savings mentioned in my earlier point, better pricing on GCP, (and likely Moore's law to some extent where the necessary compute just gets cheaper over time).
  • GCP deployments streamline some of the tasks that I do frequently. That's gotta count for something.
October 28, 2019

Great Service

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Allowing GCE to handle the infrastructure has allowed us to focus our time on our product.
  • The ease of spinning up new instances for development and testing has allowed us to be more productive.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • 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
Brendon Brown | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Because GCE is not mission-critical for us, I would not be able to speak to ROI. Since our machines and instances are almost a match, once configured, there's really no difference.
  • Bean counters will be able to speak to ROI.
Thomas Young | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Google Compute Engine has had a positive return on investment in that it has expanded the offerings of the business, and clients seem to like the shift towards Google services.
  • Google Cloud Compute Engine was a poor return on investment at first because it required a good deal of effort to figure things out.
  • Google Cloud Compute Engine is a positive return on investment by allowing multiple users to work on the same project in the cloud.
Tristan Dobbs | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Review Source
  • Preventing the necessity of any on-prem systems or hardware.
  • Reduction in complexity from AWS. We no longer need to maintain custom images.
  • Reduction in costs from AWS.
June 29, 2019

Google delivers

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • We have been able to create server instances in regions of the US where AWS doesn't have a data center, which has allowed us to secure customers with the highest performance possible, instead of having them connect to AWS data centers much further away.
Fedor Paretsky | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Positive. Suggestions on re-configuring specs. If you aren't using all the RAM or CPU threads, suggestions are sent to re-configure your virtual machine to minimize your bill at the end of the month.
  • Negative. Expensive custom machines. If you're looking for a more exact figure of RAM or CPUs, the virtual machines get quite expensive fairly quickly.
  • Negative. Internet bandwidth variability. The internet bandwidth you get, from my experience, is all dependent on your luck. :(
Tyler Johnson | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • We don't need to hire server admins or infrastructure engineers and instead our web engineers are more than capable of maintaining all of our services.
  • Fast-boot VMs and top-tier SLA mean that GCE keeps up with our fast release cycle.
  • We use instance templates to quickly launch dedicated services for our clients. They are often amazed at our less than a 24-hour turnaround.
Sazzad Hossain Sharkar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Google Compute Engine's startup prices are quite reasonable to get started.
  • Started with $300 free credits that help to sustain the business structure.
  • Our primary servers hosted at our nearest locations that help to reduce time to load. Also getting good feedback from users server speed is overall because of closest location.
David Long, SPA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
  • As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.