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 Engine
IBM 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 Engine
IBM Cloud Virtual Servers for VPC
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
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.
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 Engine
IBM Cloud Virtual Servers for VPC
Features
Google Compute Engine
IBM Cloud Virtual Servers for VPC
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
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.
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.
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.
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.
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.
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.
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.
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
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.
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
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
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.
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.
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.
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.
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
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.