Google Compute Engine vs. IBM Cloud Virtual Servers for VPC

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Compute Engine
Score 8.2 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
per month GB
IBM Cloud Virtual Servers for VPC
Score 8.1 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
NoYes
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

No answer on this topic

IBM Cloud Virtual Servers for VPC
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
Neither of those servers allows for creating an email server that can send out on port 25. IBM is easier to set-up than Amazon. And perhaps a little easier than Google. Also IBM can handle domain names for .com and .net. And changes made to their IP addresses take affect fairly …
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
We still haven't reached the critical volumes where every resource is full. For our usage we prefer IBM because it's cheaper than competition plus they have a very generous StartUp programs. The live support chat and debugging is really helpful and it's available even on the …
Chose IBM Cloud Virtual Servers for VPC
All are similar in many ways. Azure does a very nice job focusing on change management and CICD and data pipelines. GCP is easy to use, as is AWS. IBM seems more customizable and perhaps can fit some real niche requirements.
Top Pros
Top Cons
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
6.6
44 Ratings
21% below category average
IBM Cloud Virtual Servers for VPC
8.3
88 Ratings
2% above category average
Service-level Agreement (SLA) uptime8.126 Ratings8.381 Ratings
Dynamic scaling8.241 Ratings8.276 Ratings
Elastic load balancing7.737 Ratings8.364 Ratings
Pre-configured templates5.242 Ratings7.973 Ratings
Monitoring tools3.027 Ratings8.384 Ratings
Pre-defined machine images5.643 Ratings8.378 Ratings
Operating system support6.944 Ratings8.284 Ratings
Security controls7.044 Ratings8.978 Ratings
Automation7.92 Ratings00 Ratings
Best Alternatives
Google Compute EngineIBM Cloud Virtual Servers for VPC
Small Businesses
Linode
Linode
Score 9.0 out of 10
Linode
Linode
Score 9.0 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.1 out of 10
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User Ratings
Google Compute EngineIBM Cloud Virtual Servers for VPC
Likelihood to Recommend
7.3
(44 ratings)
8.1
(89 ratings)
Likelihood to Renew
9.0
(1 ratings)
7.8
(3 ratings)
Usability
9.0
(9 ratings)
-
(0 ratings)
Availability
8.4
(6 ratings)
9.1
(1 ratings)
Performance
8.0
(6 ratings)
7.3
(1 ratings)
Support Rating
8.4
(10 ratings)
7.5
(5 ratings)
Ease of integration
-
(0 ratings)
9.1
(1 ratings)
Product Scalability
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
Google Compute EngineIBM Cloud Virtual Servers for VPC
Likelihood to Recommend
Google
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.
Read full review
IBM
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.
Read full review
Pros
Google
  • 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
Read full review
IBM
  • 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.
Read full review
Cons
Google
  • 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 full review
IBM
  • It would also be nice if there were more templates to choose from when creating a server. Right now there are only a few options, and we'd like to see more variety.
  • We'd like to see the ability to create server groups. This would make it easier to manage a large number of servers since we could do all of the updates and management tasks for them at once.
  • There doesn't seem to be a way to automatically install updates on all of the virtual servers. We have to go in and manually update each one, which can be time-consuming. It would be really nice if automatic updates can be done.
Read full review
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.
Read full review
IBM
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
Read full review
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.
Read full review
IBM
No answers on this topic
Reliability and Availability
Google
GCE is highly available system. So far we have not experienced any planned or unplanned outages. We do experience application errors however they are not GCE reated. GCE provides us with wide ranges of option to make systems highly available like block storage, global load balancing, GPU accelerators and Machine Managers which manages different VMs.
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IBM
Always available when you need an instance.
Read full review
Performance
Google
It's good in terms of Performance, as compared to other VMs or Compute Engine Services by other providers. Google Compute Engine integrates seamlessly with other Google Cloud Platform services, allowing users to leverage a wide range of tools and services without significant performance degradation.
Read full review
IBM
Most of the instances work on hypervisors with good processors, but not all of them.
Read full review
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.
Read full review
IBM
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.
Read full review
Implementation Rating
Google
No answers on this topic
IBM
We did not use IBM professional services to implement IBM Cloud Virtual Servers.
Read full review
Alternatives Considered
Google
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.
Read full review
IBM
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.
Read full review
Scalability
Google
No answers on this topic
IBM
It worked well for us in the beginning, it works well for us when we have more instances.
Read full review
Return on Investment
Google
  • 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.
Read full review
IBM
  • Supports businesses who want compute power on demand (instances are ready within minutes).
  • It can give you access to a 32-core CPU at $0.29 for short running or interruptible processes - enabling cost-efficient number crunching.
  • Given me a taste of the powers of remote compute power for compilation and development.
Read full review
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.