Google Compute Engine vs. IBM Cloud Virtual Servers for VPC

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Compute Engine
Score 8.3 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.
$0.01
Hour
IBM Cloud Virtual Servers for VPC
Score 7.8 out of 10
N/A
IBM Cloud Virtual Servers are customizable, public or private, cloud-based servers available from IBM. User can launch applications and software across blended, hybrid environments as the servers integrate with all cloud models.
$0.01
per hour
Pricing
Google Compute EngineIBM Cloud Virtual Servers for VPC
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
IBM Cloud Virtual Servers (dedicated host)
starting at $0.22
per hour
IBM Cloud Virtual Servers (dedicated host)
starting at $149.00
per month
IBM Cloud Virtual Servers (multi-tenant)
starting at $0.038
per hour
IBM Cloud Virtual Servers (multi-tenant)
starting at $25.21
per month
IBM Cloud Virtual Servers (reserved)
starting at $0.02
per hour
IBM Cloud Virtual Servers (reserved)
starting at $13.27
per month
IBM Cloud Virtual Servers (transient)
starting at $0.01
per hour
Offerings
Pricing Offerings
Google Compute EngineIBM Cloud Virtual Servers for VPC
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPrices 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.IBM Cloud virtual servers include 250 GB of outbound public bandwidth, unmetered inbound public bandwidth, and unmetered private and management network bandwidth.
More Pricing Information
Community Pulse
Google Compute EngineIBM Cloud Virtual Servers for VPC
Considered Both Products
Google Compute Engine
Chose Google Compute Engine
Cloud providers offering virtual machines are quite common. I think, Google, however, is arguably one of the top players in the market, with some of the largest (if not the largest) and most advanced server farms in the world. If you're looking for reliability and cost …
Chose Google Compute Engine
Google Cloud SQL, Google Cloud Storage, Google Cloud Virtual Private Cloud (VPC) and Google Cloud Deployment Manager
Chose Google Compute Engine
The perfect blend of setup flexibility, costing and trust of Google could be my answer to the comparison. This being a server backed service so, ruling out the functions. The Setup flexibility and speed set the GCE apart from Kubernetes. Compliance, regulation and the security …
Chose Google Compute Engine
We have tried using DigitalOcean droplets for some of our minor and non critical VMs. In our experience, Google Compute Engine fares well in comparison the DigitalOcean droplets as they provide better availability, better support and in general, a better experience.
Chose Google Compute Engine
As far as user-friendliness is concerned, I personally rank Google Cloud above both AWS and Azure. Their user interface makes it easy to manage, which is important.
Chose Google Compute Engine
I find Google Compute Engine to be much easier to use than Amazon's EC2 service. The console makes much more sense, permission management is much cleaner, and I'd say the other categories feel on par with EC2: performance, how fine-grained the settings are, connecting to …
Chose Google Compute Engine
The obvious and natural alternatives to GCE are AWS EC2 and Azure VMs. I would say all three are more similar than not. Picking one will most likely depend on what platform you're on already, where your running services are, and which one is more familiar to your team.
Chose Google Compute Engine
Comparabale to AWS EC2. We selected GCE because of the out-of-the-box K8 engine setup. On AWS, I find it a bit tedious.
Chose Google Compute Engine
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an …
Chose Google Compute Engine
The Google Cloud computing engine is fair at the top because it bills customers, automatic discounting for extended use, and how fast it can be turned on. We enjoy things around setting it up very easily via APIs and CLI commands, and with the always-on recommendations from …
Chose Google Compute Engine
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 …
Chose Google Compute Engine
Google Compute Engine is a different animal than GKE, used for different purposes. Compares 1:1 with ECS, and is an equivalent product.
Chose Google Compute Engine
Ec2 has much more compatibility with different tech stacks than Google Compute Engine.
Chose Google Compute Engine
The price difference is not very high between them. Both of them provide good services.
Chose Google Compute Engine
Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Azure VMware Solution and Azure Kubernetes Service (AKS)
Chose Google Compute Engine
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 …
Chose Google Compute Engine
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 …
Chose Google Compute Engine
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 …
Chose Google Compute Engine
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.
Chose Google Compute Engine
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.
Chose Google Compute Engine
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 …
Chose Google Compute Engine
Google was easy to start with in terms of ease of use and support access.
Chose Google Compute Engine
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 …
Chose Google Compute Engine
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 …
Chose Google Compute Engine
We decided to use GCE mainly for its price and good looking UI.
IBM Cloud Virtual Servers for VPC
Chose IBM Cloud Virtual Servers for VPC
We found it necessary to look at some alternatives to our normal cloud and server services. For the larger temorary projects, and trouble shooting issues we found IBM Cloud was suitable.
Chose IBM Cloud Virtual Servers for VPC
We have not necessarily used any other products, we may be using them in our junior companies or our sub-workplaces but there's nothing that I know off so far.
Chose IBM Cloud Virtual Servers for VPC
Have used it because of previous IBM partership, and also because of the need to test Linux on Z series.
Chose IBM Cloud Virtual Servers for VPC
IBM Cloud Virtual Servers offer more customization options than Amazon EC2, with the ability to select from a range of operating systems, storage types, and network configurations. IBM also provides a wide range of tools and services to help manage and optimize your virtual …
Chose IBM Cloud Virtual Servers for VPC
We decided to make use of IBM Virtual Cloud Servers because we were offered IBM Credits and assistance for set up. Our experience was unfortunately negative and in particular, we feel that IBM Cloud Virtual Servers would benefit from having more personnel available to provide …
Chose IBM Cloud Virtual Servers for VPC
Overall, IBM is more expensive, but provides a lot of support for these cloud virtual servers as well as makes it very easy to configure these servers to the desired needs. The usability of IBM is sometimes not as good as others, but the availability of these servers is fairly …
Chose IBM Cloud Virtual Servers for VPC
IBM virtual server is the most trusted brand to get good supports and high productivity. We used it for the most scalable servers to use and meet the needs. It provides scalability, security all in a single place to backup and use and store your data without any worry.
Chose IBM Cloud Virtual Servers for VPC
I think both IBM Cloud Virtual Servers and Google Compute Engine are good products. Each works the best when they are being used with other solutions in their respective clouds. When products in each ecosystem are used in conjunction, they work really well. When working with …
Chose IBM Cloud Virtual Servers for VPC
We have our running cloud projects hosted on Amazon EC2 and our primary option is always amazon because the team are more experienced with AWS, now we are looking into other options in the market
Chose IBM Cloud Virtual Servers for VPC
The selection of Virtual servers is easy and deployments and upgrades are easy to handle compared to the IBM cloud. Firstly UI is very easy and helps us to choose and customize fast without delay in critical times.AWS has a lot of varieties in instances we can choose based on …
Chose IBM Cloud Virtual Servers for VPC
IBM Power Virtual server offers machines certified by SAP. This means that SAP HANA runs perfectly without bottlenecks due to underpowered hardware.
Chose IBM Cloud Virtual Servers for VPC
This is our first foray into the Virtual Servers world, so I cannot give an accurate comparison to any other services yet.
Chose IBM Cloud Virtual Servers for VPC
AWS ec2 instance sometimes stops accidentally without any cloud watch alarms and sometimes instance not reachable. I used to connect with support for it but [it] never got resolved. IBM Cloud [Virtual Servers] has dedicated support with free support options and direct call …
Chose IBM Cloud Virtual Servers for VPC
Google Compute Engine and Amazon Elastic Compute Cloud (EC2)
Chose IBM Cloud Virtual Servers for VPC
Amazon Elastic Compute Cloud (EC2) and Google Compute Engine
Chose IBM Cloud Virtual Servers for VPC
Cloudflare is awesome for [a] global edge -- accelerate end-user accessibility. We use IBM Cloud Virtual Servers as the backend service layer.
Chose IBM Cloud Virtual Servers for VPC
IBM Cloud Virtual Servers is much more appropriate than IBM Cloud Bare Metal Servers as a remote development machine, as it is only being billed for a third of the day. However, it has fewer options (such as not having access to the T4 GPU).

Compared to IBM Watson Machine …
Chose IBM Cloud Virtual Servers for VPC
Not used others to provide a comparison, but will be delighted to provide once others are used.
Chose IBM Cloud Virtual Servers for VPC
They are equally in power with the competitor, with some give or takes, easy to use and very flexible.
Chose IBM Cloud Virtual Servers for VPC
We used to have our virtual machines at a contender, however, IBMs item range is substantially more practical which expanded our ROI. When I started using IBM for all my hosting solutions, I became a really big fan. They have well-built security and other features.
Features
Google Compute EngineIBM Cloud Virtual Servers for VPC
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google Compute Engine
7.3
Ratings
10% below category average
IBM Cloud Virtual Servers for VPC
8.7
Ratings
8% above category average
Service-level Agreement (SLA) uptime8.10 Ratings9.00 Ratings
Dynamic scaling8.30 Ratings8.60 Ratings
Elastic load balancing8.00 Ratings8.60 Ratings
Pre-configured templates7.50 Ratings8.50 Ratings
Monitoring tools3.00 Ratings8.20 Ratings
Pre-defined machine images7.30 Ratings9.00 Ratings
Operating system support7.90 Ratings8.80 Ratings
Security controls7.90 Ratings9.10 Ratings
Automation7.90 Ratings00 Ratings
Best Alternatives
Google Compute EngineIBM Cloud Virtual Servers for VPC
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
DigitalOcean Droplets
DigitalOcean Droplets
Score 8.7 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Compute EngineIBM Cloud Virtual Servers for VPC
Likelihood to Recommend
7.6
(0 ratings)
8.2
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
8.2
(0 ratings)
Usability
9.0
(0 ratings)
-
(0 ratings)
Availability
8.6
(0 ratings)
9.1
(0 ratings)
Performance
8.4
(0 ratings)
7.3
(0 ratings)
Support Rating
10.0
(0 ratings)
8.1
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
Google Compute EngineIBM Cloud Virtual Servers for VPC
Likelihood to Recommend
It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
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One scenario that immediately came to my mind was large-scale data processing, IBM Cloud Virtual Servers is well-suited for organizations that require high-performance computing capabilities, particularly when processing large amounts of data. It can also be useful for companies or organizations that wish to migrate their workplace to the cloud and it may suite companies that have strict compliance requirements since the servers have robust security features.
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Pros
  • 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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  • Scalability: IBM Cloud Virtual Servers enable businesses to simply and quickly scale up or down the resources they require in response to changing business demands. This enables firms to respond to traffic spikes, requests for new services, or changes in business size without the need for additional hardware purchases or maintenance.
  • Cost savings: By employing virtual servers in the cloud, enterprises can decrease capital expenditures for hardware and infrastructure while also lowering ongoing operational expenses by removing server maintenance and management costs. This can result in significant cost savings for enterprises, particularly those that need to raise or decrease their computer capacity fast and easily.
  • High availability: IBM Cloud Virtual Servers is built with high availability in mind, giving enterprises the certainty that their applications and data will be available and accessible even if hardware fails or other disruptions occur. This assists enterprises in maintaining business continuity and lowering the chance of downtime, which is crucial for firms that rely on 24/7 access to their systems. Furthermore, IBM's comprehensive network and security features aid in the prevention of data breaches and other security risks, assuring the availability and reliability of their applications and data.
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Cons
  • 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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  • Softlayer is designed primarily for advanced clients, and can be a little finicky like many other advanced services, such as highly-customizable options for nearly every part of a service. You build your servers by specs, just like a real server, rather than clicking a few buttons to get a basic cookie-cutter server.
  • Costs are much higher than one would expect, however, you do get what you pay for, and having high-quality equipment available at hourly rates is going to cost.
  • Support is surprisingly mediocre, and the primary cause of most complaints about softlayer. I personally have had no problems with support, but, remember that this is an "advanced" service, and even my eyes go cross-eyed looking at the config options of a server. I would imagine support is focused and trained for dealing with experienced Linux admins, and developers, and would not be of much help to anyone that accidentally ventured in, expecting an EC2 style experience.
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Likelihood to Renew
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
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It has a flexible and affordable pricing, easy to configure and manage. It is easy to spawn one or multiple instances and have them up and running in no time
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Usability
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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No answers on this topic
Reliability and Availability
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
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Always available when you need an instance.
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Performance
The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
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Most of the instances work on hypervisors with good processors, but not all of them.
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Support Rating
  • 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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It is adequate, but you need to be ready to argue your point - which is fair enough, I suppose, but being given the opposite of the benefit of the doubt every time does not necessarily result in an enjoyable user experience.
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Implementation Rating
No answers on this topic
We did not use IBM professional services to implement IBM Cloud Virtual Servers.
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Alternatives Considered
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
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IBM Cloud Virtual Servers offer more customization options than Amazon EC2, with the ability to select from a range of operating systems, storage types, and network configurations. IBM also provides a wide range of tools and services to help manage and optimize your virtual servers, including a web-based console, CLI, and API.

AWS EC2 is a more managed platform, with a focus on providing a simple and easy-to-use interface. Amazon provides a range of predefined instance types, each with different specs and pricing, to make it easy to find the right option for your needs. AWS also offers a number of management and monitoring tools, but these are often more basic than what is available from IBM.
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Scalability
It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
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It worked well for us in the beginning, it works well for us when we have more instances.
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Return on Investment
  • Scalability means flexibility and less upfront costs
  • Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
  • Ramp up time is long, but after that it is quick to do many things and ROI is awesome
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  • IBM Cloud Virtual Servers has allowed us to reduce our costs of training and development by 100%. We no longer need hardware that is specific to the development environment. This means we can act more quickly on new business initiatives since they are not hampered by the availability of hardware, downtime, or maintenance windows. The time savings stemming from this alone makes the investment pay for itself.
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ScreenShots

Google Compute Engine Screenshots

Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.