Google Compute Engine Reviews

124 Ratings
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Score 8.0 out of 100

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Reviews (1-25 of 27)

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April 09, 2021
Frank Palladino | TrustRadius Reviewer
Score 9 out of 10
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Verified User
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Pros and Cons

  • It is easy to use
  • It is easy to setup
  • Configuration and monitoring of the instances is straightforward and thorough
  • The configuration of ingress and egress for the nodes could be easier
  • Machine image storing, compression, etc. could be better or have more functionality
  • Transferring machine images to and from my local environment is something I have wanted on GCE and its competitors for a long time
Read Frank Palladino's full review
May 01, 2021
Manjeet Singh | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Pros and Cons

  • It's very easy to spin up a VM from the console. We can say the console is very user-friendly.
  • Set of predefined VMs ready to be used for different needs.
  • Options of preemptible VMs which help reduce the considerable amount of cost.
  • Spin up takes some time and that's where containers come into the picture.
  • Setting up security for created VMs is still messy and it can be simpler.
Read Manjeet Singh's full review
October 04, 2019
Aditya Mohan | TrustRadius Reviewer
Score 9 out of 10
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Verified User
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Pros and Cons

  • East interface to scale up and down the compute capacity
  • Easy, straight forward billing and chargeback capabilities
  • Reliability / uptime is great and had no issues so far on uptime
  • Works well in multi cloud environments
  • Although not always used, there is room for adding more detailed and granular management console when things go wrong (and sometime they do)
  • Documentation can sometime be hard to find especially for using GCE for time critical, large scale deployments
  • There are also some compatibility issues when running custom libraries over GCE. Support for third party drivers and libraries can be improved.
Read Aditya Mohan's full review
August 23, 2019
Brendon Brown | TrustRadius Reviewer
Score 7 out of 10
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Pros and Cons

  • Compute Engine is gaining traction, and documentation is getting easier to find.
  • Menus and services are structured more intelligently.
  • The idea of poor Support from the Google brand prevents my technicians from picking up the phone.
  • It's easier to find EC2 experts to consult and support mission-critical operations.
Read Brendon Brown's full review
August 19, 2019
Thomas Young | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Google Cloud Compute Engine does a good job at crunching numbers.
  • Google Cloud Compute Engine is great at always being available, and I have yet to find any latency.
  • Google Cloud Compute Engine is great for doing advanced analytics (machine learning) without needing the software on my desktop.
  • Google Compute Engine is in the cloud, which means that it is probably less secure than on-premise options. With that said, I have never had a problem.
  • Google Compute Engine seems fine at running machine learning models, but is in no way as good as competing tools that are not run in the cloud.
  • Google Compute Engine is less user friendly than AWS or Azure, at least that's my experience.
Read Thomas Young's full review
August 16, 2019
Tristan Dobbs | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Review Source

Pros and Cons

  • GCE is excellent at cost management. We are able to manage billing to the second and set up rules to manage those expenses easily.
  • GCE is fast! Our teams constantly provision/de-provision workloads and GCE is able to keep up well, no matter the type or number of servers that need to be spun up.
  • The configuration is extremely easy. The UI is being improved and tweaked on a regular basis to keep up with UI/UX trends and make it easy for users to do everything from the console. That said, the API is extensive and powerful. Many of us prefer the CLI for bulk actions.
  • Windows management is lacking. When managing a Windows machine, it's nearly always necessary to RDP into the machine and an agent would be very helpful for system-level API calls.
  • Stackdriver integration could be rolled out better. We would like to see more standard monitoring functionality and metrics built-in for instant deployment when using a new project.
  • Inter-project organization. It's difficult to connect different GCP projects in order to share a VPC. Once that is complete, it's nearly impossible to extricate them.
Read Tristan Dobbs's full review
August 12, 2019
Vinicius Lima | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • A friendly and intuitive graphical interface is available
  • There are several resources available, such as networking and snapshots.
  • The performance is amazing and you can select the region/zone close to your region.
  • There is a shell environment that helps a lot
  • Better price for Windows Server virtual machines
  • The graphical interface to manage a specific VM could be improved.
Read Vinicius Lima's full review
August 12, 2019
Stephen Groat | TrustRadius Reviewer
Score 8 out of 10
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Pros and Cons

  • Strong G Suite integration.
  • Strong Infrastructure as Code (IaC) features.
  • Easy to configure.
  • Less availability than AWS.
  • Can hide critical configuration features necessary for detailed performance tuning.
  • Features can remain in beta for a long time.
Read Stephen Groat's full review
August 16, 2019
Josh Ashby | TrustRadius Reviewer
Score 10 out of 10
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Pros and Cons

  • Provides resizable compute capacity
  • Great scalability and elasticity
  • Very customizable
  • Generous free tier
  • Some loading issues
  • Setup can be tricky
  • No other problems
Read Josh Ashby's full review
October 28, 2019
Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • GCE is well suited for multi-environment testing, development, and experimentation.
  • Very cost effective.
  • If you want to do something outside of a standard image it can be a little cumbersome.
Read this authenticated review
September 28, 2019
Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Easy and fast creation of the resource.
  • Rich ecosystem of tools and cloud technologies.
  • Ability to scale up and down, based on the needs.
  • Better documentation.
  • Up to date documentation.
  • Capabilities on par with AWS.
Read this authenticated review
August 20, 2019
Anonymous | TrustRadius Reviewer
Score 10 out of 10
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Verified User
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Pros and Cons

  • Access files and data with higher security.
  • Easy to manage.
  • Create virtual machines very easily.
  • Google Compute Engine is user-friendly.
  • The price is good.
  • Documentation can be more detailed.
  • More costs options.
  • No other recommendations.
Read this authenticated review
January 16, 2019
Fedor Paretsky | TrustRadius Reviewer
Score 7 out of 10
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Pros and Cons

  • Great scalability. The cloud VMs all have elastic specs functionality, but re-scaling some VMs may create a significant amount of downtime for your backend.
  • GPU offerings. Google Cloud offers NVIDIA Tesla K80s, P4s, and P100s, which some of the cloud computing competitors don't offer.
  • Downtime, Google's SLA is very good. I've never had a poor experience with downtime or maintenance on their services.
  • Internet speed can be quite variable. The bandwidth for different instances ranges a lot. Some instances have had internet bandwidth that is in the range of 5-10x the speed of other instances.
  • Customizability. Customizing the number of cores, RAM beyond what Google offers in their standard compute plans can get quite expensive.
  • Firewalls/networking. Figuring out how to use these took way longer than necessary. Getting the right ports opened and forwarded took lots of reading, something that other services included in the creation/initialization process of virtual machines.
Read Fedor Paretsky's full review
May 04, 2018
Tyler Johnson | TrustRadius Reviewer
Score 9 out of 10
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Verified User
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Pros and Cons

  • 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.
  • Built-in monitoring via Stackdriver is quite expensive for what it provides.
  • Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
  • Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.
Read Tyler Johnson's full review
August 04, 2017
Dmitry Sadovnychyi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Per-hour pricing with sustained use discounts -- you'll get a good discount if you run a VM for a long time.
  • Always free usage limits -- you can run a small VM on it completely free of charge!
  • Preemptible VM – huge discounts when you only want to run it for a short time, but it could be terminated if there's a demand.
  • GPU support -- useful if you want to control your ML training jobs by yourself instead of using their Cloud ML APIs.
  • Sustained use discounts could be combined with committed use discounts -- just give me cheaper price if I'm running a VM for a year
Read Dmitry Sadovnychyi's full review
October 11, 2017
Sazzad Hossain Sharkar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Google Compute Engine gives us easy ability to maintain the servers including live statistics about what is going on.
  • Easy single click to extend server system including network changing. Easy to clone servers between multiple regions.
  • Google Compute Engine has one-click installer (pre-built) applications including Bitnami launchpad.
  • Easy to integrate with cloud storage and backup periodically source codes and database to storage facility
  • Sometimes it is hard to remember the settings menus because these are separated into various sections.
  • Inviting external users to projects or maintainers are also a little complex
  • Server images have limited facilities. I mean some of the sections are disabled and had to be re-enabled on my own. Especially for Debian or Ubuntu images.
  • SMTP service is disabled by system and needs to be configured Postfix on my own.
  • UI is little complicated.
Read Sazzad Hossain Sharkar's full review
March 29, 2017
Raymond Hawkins | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Compute instances can be resized with quite minimal down time.
  • They offer recommendations when an instance might need to be upgraded to improve performance or downgraded to save you money.
  • The ability to SSH into any of your instances from any browser or mobile device works extremely well and is very useful!
  • The cost of bandwidth is somewhat high.
Read Raymond Hawkins's full review
March 24, 2017
Andy Zhang | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Clean and well-designed API
  • Simple, yet transparent reporting of usage
  • Generous and straightforward pricing
  • Missing GPUs for cloud instances
  • Excessively lean customer service department
  • Confusion as to how the container environment works in relation to GCE
Read Andy Zhang's full review
February 24, 2017
David Long, SPA | TrustRadius Reviewer
Score 10 out of 10
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Verified User
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Pros and Cons

  • Spinning up new systems is a breeze. We are able to auto-scale our container engine clusters easily based on CPU usage or resource reservations.
  • Cost is ~1/2 of AWS in general. Google advertises this and so far they've been true to their word. They provide sustained-use discounts if you run systems that stay online for an entire month.
  • The command line interface is very easy to use. Setting up new environments is simple since the process can be scripted through the command line.
  • 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.
Read David Long, SPA's full review
June 29, 2019
Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
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Pros and Cons

  • We are able to select a custom amount of vCPU and Memory resources.
  • It provides pricing estimates on the page when configuring a new instance (versus having to reference separate documentation).
  • We are able to tie into G-Suite User Directory for access control to the Google Compute Engine console.
  • It would be nice to move a Google Compute Engine Server to a different project without having to recreate it.
Read this authenticated review
May 24, 2019
Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Advanced autoscaling logic to cater scenarios that involve high load at the global level.
  • Seamless and reliable rolling updates with support for releases.
  • Backup data via very fast snapshots helps to quickly back up systems
  • Good support for things like metadata (pre-defined and custom).
  • Ability use Windows client OS VMs (or support import capability)
  • Increase the offered default monitoring metrics set.
  • Adjustable shutdown cooldown period (instead of fixed 30 seconds window).
Read this authenticated review
August 17, 2018
Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Pros and Cons

  • Custom machine types gives us the flexibility of defining the right cpu and memory
  • Load balancers are efficient
  • Easily create instances using gCloud SDK
  • Very little programming languages support
  • Charged before usage
  • Changing platforms is not easy
Read this authenticated review
June 13, 2017
Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
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Pros and Cons

  • GCE is an excellent tool for quick deployment of on demand servers.
  • GCE offers the ability to snapshot servers, create host clusters, and auto-scale based on demand.
  • GCE is the most cost effective virtual hosting environment we've used. They give up front pricing which is a major plus for us.
  • I can't think of any immediate areas GCE could improve on.
Read this authenticated review

Feature Scorecard Summary

Service-level Agreement (SLA) uptime (26)
8.9
Dynamic scaling (24)
8.3
Elastic load balancing (20)
8.6
Pre-configured templates (26)
8.3
Monitoring tools (27)
7.6
Pre-defined machine images (27)
8.0
Operating system support (27)
8.2
Security controls (27)
8.6
Automation (1)
7

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 Types:SaaS
Operating Systems: Unspecified
Mobile Application:No

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.

What is Google Compute Engine's best feature?

Reviewers rate Service-level Agreement (SLA) uptime highest, with a score of 8.9.

Who uses Google Compute Engine?

The most common users of Google Compute Engine are from Small Businesses and the Computer Software industry.